GEN AI Engineer Jobs in Bengaluru

AI Native Product Manager Location: Bengaluru Type: Full-Time Experience Required: 2+ Years in PM (with a B2C focus) Role Overview: Architecting the Future of AI We are seeking a visionary AI Native Product Manager to drive innovation within our core product suite. You will leverage deep expertise in LLMs, Generative AI, and AI Prompting to translate market trends and user needs into a cohesive, high-impact product strategy. This is a role for a "tinkerer" who understands the technical nuances of AI and the psychological drivers of B2C users. The Ideal Candidate Profile AI Specialization: Technical Fluency: Deep knowledge of Large Language Models (LLMs), Gen AI workflows, and advanced Prompt Engineering. Hands-on Tinkering: A genuine passion for AI advancements and a history of experimenting with cutting-edge AI tools. Product Leadership: Metrics Ownership: Proven track record of owning and successfully driving Head Metrics for a digital product. B2C Expertise: Essential experience in B2C product management, focusing on user behavior and retention. GTM Strategy: Experience with Product Launches and Go-to-Market (GTM) strategies is a significant advantage. Agile Mastery: Expert understanding of Agile methodologies and end-to-end product lifecycle management. Key Responsibilities Strategy & Discovery: Visionary Roadmap: Develop and adapt a clear product vision based on market analysis and evolving AI trends. Requirements Engineering: Translate stakeholder needs into precise product specs, user stories, and acceptance criteria. Execution & Growth: Cross-functional Leadership: Lead engineering, design, and marketing teams to ensure seamless execution of the roadmap. End-to-End Development: Manage scope, timelines, and resources to deliver high-quality AI-driven features. Launch & Iterate: Execute successful product launches and monitor post-launch performance to inform continuous improvements. Data-Driven Decisions: Use data analytics and user behavior insights to track KPIs and pivot strategies proactively. Core Competencies Communication: Ability to convey complex AI concepts to non-technical stakeholders clearly. Problem Solving: A proactive, hands-on approach to tackling the unique challenges of non-deterministic AI outputs. Quantitative Mindset: Comfortable with advanced analytics tools to validate product hypotheses.

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Mobile App and Observability SDK Engineer Experience: 3 6 Years Location: Bengaluru About VuNet VuNet is a pioneer in Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our cutting-edge platform offers end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and superior user satisfaction. With over 28 billion digital transactions monitored monthly touching 400 million users worldwide we re already powering leading banks and financial institutions across India and MEA. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized globally by analysts like Gartner and Omdia. Your Role: Mobile App and Observability SDK Engineer At VuNet, the Product Development Team is dedicated to delivering exceptional customer experiences through scalable products. We are looking for a Mobile App and Observability SDK Engineer to join this team. In this role, you ll be at the forefront of building high-quality mobile applications and advancing our Mobile Real User Monitoring (MRUM) initiatives. You ll capture and translate mobile performance data into actionable insights, helping improve the performance and user experience of mobile apps across various platforms. If you re passionate about mobile engineering, user experience, and observability this role offers a unique opportunity to merge these interests into a groundbreaking solution. Roles & Responsibilities Mobile Application Development: Design, develop, and maintain robust, high-performance mobile applications for iOS and Android using Swift, Kotlin, Flutter, or React Native. Testing & Quality Assurance: Implement unit, integration, and UI testing strategies to ensure the app s quality, stability, and regression coverage. Debugging & Profiling: Identify and resolve performance bottlenecks, ANRs, crashes, and memory leaks using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analysis & Reporting: Integrate crash analytics tools and develop efficient incident tracking and resolution workflows. Performance Monitoring & Insights: Leverage telemetry, profiling, and analytics data to enhance app performance, responsiveness, and overall user experience. Observability Collaboration: Work with SRE and backend teams to export performance metrics, logs, and traces from mobile clients into centralized observability platforms. Code Quality: Write clean, modular, and well-documented code, adhering to best practices in mobile development and SDK maintenance. What You Bring Mandatory Skills: Mobile App Development: 3+ years of hands-on experience in mobile app development using Flutter, React Native, Swift, or Kotlin (experience in at least two of these). App Lifecycle & Performance: Strong understanding of mobile app lifecycle, UI rendering, asynchronous processing, state management, and performance optimization (ANRs, memory management, network latency). Debugging & Profiling Tools: Proficiency in debugging, profiling, and testing mobile applications using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analytics: Experience integrating and using crash analytics and reporting tools. CI/CD & SDK Versioning: Familiarity with CI/CD pipelines, automated testing, and SDK versioning. Performance Instrumentation: Interest in observability, monitoring, and performance instrumentation with a willingness to learn OpenTelemetry and RUM concepts. Problem-Solving Mindset: Strong analytical and debugging skills, focused on enhancing performance and reliability. Nice-to-Have Skills: OpenTelemetry & SDKs: Exposure to OpenTelemetry SDKs or other instrumentation frameworks for capturing telemetry data (e.g., traces, metrics, logs). Mobile Observability: Familiarity with mobile observability backends. Session Replay & Mobile Analytics: Knowledge of session replay, user behavior tracking, or mobile analytics SDKs. SRE & Monitoring Practices: Understanding of SRE principles, monitoring best practices, and golden signals. Open Source Contributions: Contributions to open-source SDKs or mobile performance tools. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. We re just getting started, and we re looking for people like you to join us in tackling some of the most complex challenges in the digital world. Our team is filled with passionate problem-solvers who thrive in a collaborative, fast-paced environment. We embrace continuous learning, adapt quickly, and stay ahead of emerging technologies like Gen AI. If you re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team, you ll feel right at home here at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. A transparent, inclusive, and high-trust workplace culture. Access to Gen AI and integrated technology workspaces. Supportive career development programs to expand your skills with various training opportunities.

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Gen AI Support Engineer-2 Location: Bengaluru Experience: 4 7+ years Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and virtual telecom operator for emerging markets. Since its inception in 2011, Exotel has been powering 50 million daily engagements across voice, video, and messaging channels. We provide our unified customer engagement solutions to over 6000 companies globally, including industry leaders like Ola, Swiggy, Flipkart, GoJek, Byjus, Urban Company, HDFC Bank, Zomato, and Oyo. With $100 million in Series D funding and an ARR of $60 million, Exotel is a growth-stage company poised for massive impact. Overview We're seeking a Gen AI Support Engineer-2 to join our team. As an L2 Support Engineer, you will be the highest level of technical escalation within the support organization. Your role will encompass system reliability, platform integrity, troubleshooting mission-critical production issues, and collaborating with engineering teams for architecture feedback. Additionally, you'll help mentor junior engineers and improve operational processes and tools for large-scale environments. If you're passionate about writing clean code with Python and Django and want to contribute to a fast-paced, mission-driven company, this role is for you! Responsibilities Mission-Critical Issue Resolution: Own the resolution of high-priority, time-sensitive production issues. Root Cause Analysis (RCA): Lead RCA reviews and push for systemic improvements in system architecture and processes. Performance Optimization: Identify bottlenecks and propose architectural changes to improve system performance and scalability. Patch Management: Assist in configuring, deploying, and testing patches, releases, and application updates to production environments. SME for Production Systems: Serve as the Subject Matter Expert (SME) for Exotel's production systems and integrations. Cross-Team Collaboration: Work with Delivery, Product, and Engineering teams to influence system design, rollout strategies, and improvement plans. Mentorship: Lead and mentor L1/L2 engineers on troubleshooting best practices and continuous learning. Code Writing & Automation: Write clean, maintainable code for internal tools, scripts, and automation using Python and Django. Support Tooling: Automate recovery workflows and design support tools for proactive monitoring. Operational Excellence: Establish and improve SLAs, monitoring dashboards, alerting systems, and operational runbooks to ensure system reliability. Must Have Skills Backend Development Support: 3+ years of experience in backend development support, production support, or DevOps/SRE roles. Core Technologies: Proficiency in Python, Django, SQL, and troubleshooting in Linux. Web Technologies: Strong understanding of HTML, CSS, JavaScript, and other web technologies. Distributed Systems & Cloud: Experience working with distributed systems, cloud architecture (AWS), Docker, and Kubernetes. Automation: Strong scripting skills with Bash/Python for automation and operational support. CI/CD & Observability: Good understanding of CI/CD, observability tools, and release management workflows. Communication Skills: Excellent communication, leadership, and incident command skills for managing production issues and cross-functional collaboration. Nice to Have Experience with AI-powered systems and machine learning technologies. Familiarity with monitoring systems like Prometheus, Grafana, or Elasticsearch. Knowledge of microservices architectures and scaling distributed systems. Innovative Work: Be at the forefront of cloud-based communications technology and AI-driven customer engagement platforms. Impact: Play a key role in maintaining and optimizing systems that power millions of customer interactions daily. Growth Opportunities: Be part of a fast-growing company with ample learning opportunities and career development. Collaborative Environment: Work in a supportive, inclusive environment where your input and ideas matter. Competitive Benefits: Comprehensive benefits package including health insurance, mental wellness support, and more.

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

Java Developer Software Engineer Experience: 3 6 years Location: Bengaluru Department: Product Development Join VuNet Build the Future of Digital Observability VuNet is pioneering a new category in Business Journey Observability, combining Big Data and Machine Learning to transform digital experiences in financial services. We monitor over 28 billion transactions monthly, supporting 300+ million users across major banks and financial institutions (e.g., UPI, real-time payment systems). VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized by Forbes, Gartner, and others for its innovation in AI and observability. About the Role We are looking for a Java Developer to join our Product Development Team, focused on building lightweight, high-performance Java agents that collect observability data from real-world production systems. Your work will directly contribute to improving digital journeys for millions of users. If you thrive in a fast-paced environment, enjoy solving complex problems, and want to be part of a cutting-edge platform built in India for the world this is your opportunity. Your Responsibilities Design and develop scalable Java-based agents to collect data from JVMs and other systems in production environments. Integrate with various systems using protocols like TCP, HTTP, and REST APIs. Maintain and enhance existing agents: debug, analyze root causes, and collaborate with customer-facing teams for fixes. Ensure clean, efficient code through unit testing, design documentation, coding standards, and peer reviews. Take full ownership of the development lifecycle from requirement analysis to production deployment. Collaborate with Product, Platform, and Support teams to build robust, real-world-ready solutions. Contribute to broader Java development efforts (e.g., platform modules, service components, custom adapters) as needed. What You Bring Must-Have Skills 3 6 years of hands-on Java development experience. Strong understanding of multithreading, file handling, and socket programming. Experience working with Java Management Extensions (JMX). Proficiency in consuming REST APIs with Java. Strong debugging skills and ability to resolve complex production issues. Excellent communication and documentation skills. Self-motivated, detail-oriented, and collaborative mindset. A growth-driven mindset with curiosity to learn new technologies and domains. Nice-to-Have Skills Experience with Java application servers like Tomcat, JBoss, or Jetty. Familiarity with Apache Kafka and event-driven architectures. Exposure to distributed systems or big data tools: Spark, Redis, Cassandra, Hadoop, MySQL. Life at VuNet We re not just building technology we re building the future of digital experiences. At VuNet, you ll be part of a collaborative, innovation-driven team where curiosity, ownership, and continuous learning are core to our culture. Whether you re exploring Generative AI, solving high-scale data challenges, or working alongside some of the sharpest minds in deep tech VuNet is where you can grow, build, and make a real-world impact. Your Benefits Health insurance for you, your dependents, and parents. Mental wellness support with 1:1 counseling. Transparent and inclusive workplace culture. Access to emerging tech (including Gen AI) and cutting-edge tools. Career development and technical learning programs. Opportunity to shape a globally recognized, Made-in-India deep tech product.

Information Developer Experience: 3 8 years Location: Bengaluru Department: Product & Engineering Join VuNet Shape the Way the World Understands Observability VuNet is redefining digital experiences through Business Journey Observability, harnessing the power of Big Data and Machine Learning. Our platform monitors 28+ billion transactions monthly, enhancing operational resilience and customer satisfaction across India s top banks and financial institutions. Recognized by NASSCOM, Forbes, and Gartner, VuNet is building a world-class deep-tech product in India that s making waves globally. Your Role: Information Developer We re looking for an experienced Information Developer to lead the creation of high-quality product documentation that enables our users to easily understand and unlock the full value of VuNet s platform. You ll work closely with product managers, engineers, and support teams to translate complex technical concepts into clear, concise, and user-focused content. If you have a passion for clarity, love simplifying complexity, and want to shape the voice of a rapidly scaling tech product this is your opportunity. Key Responsibilities Develop, manage, and update product documentation, including: User guides API references Troubleshooting manuals Online help and release notes Collaborate with cross-functional teams (Product, Engineering, Support) to gather technical details and ensure content accuracy. Translate technical concepts into easy-to-understand content for diverse audiences. Contribute to product UI/UX copy to ensure a consistent, user-friendly experience. Keep documentation aligned with product changes in fast-moving release cycles. Create content for tutorials, knowledge base articles, and multimedia assets (videos, walkthroughs, etc.). Leverage Generative AI tools to streamline content development and enhance user experience. Participate in product planning meetings to identify and prioritize documentation needs. What You Bring 3 8 years of experience as a Technical Writer or Information Developer, ideally in a SaaS or enterprise software environment. Strong command of English with excellent writing, editing, and structuring skills. Proficiency using Generative AI tools for documentation and content automation. Experience with documentation tools such as Markdown, MadCap Flare, Confluence, Git, or similar. Ability to understand and explain complex software systems, APIs, or developer tools. A proactive mindset with strong organizational and collaboration skills. A degree in Engineering, Computer Science, or a related technical field. (Bonus) Familiarity with observability tools, monitoring platforms, or infrastructure tech. Life at VuNet We re a team of curious, driven, and passionate problem-solvers. At VuNet, you ll collaborate with deep-tech innovators, explore emerging technologies like Gen AI, and be part of something big a globally recognized platform built proudly in India. Your work will directly impact millions of users and some of the most mission-critical systems in the digital economy. Your Benefits Comprehensive health insurance for you, your dependents, and your parents. Mental wellness support and 1:1 counseling sessions. Transparent and inclusive culture focused on ownership and growth. Workspaces and tools equipped for next-gen technologies and innovation. Continuous learning through structured training and development programs.

Lead Platform Engineer Observability Solutions Location: Bengaluru Experience: 6 10 Years Function: Observability Engineering | Platform Architecture | SRE Enablement Join VuNet Redefining Digital Observability at Scale VuNet is transforming the future of digital experiences through Business Journey Observability, combining Big Data and AI/ML to empower real-time visibility across payments, banking, and financial services. Monitoring 28+ billion transactions/month, our platform is trusted by top financial institutions and powers over 300 million users. Backed by Series B funding and recognized by Gartner, NASSCOM, and Forbes, we are leading the charge in building a new category of observability, proudly Made in India for global impact. Your Role: Lead Platform Engineer As the Lead Platform Engineer, you will architect and drive the development of packaged observability solutions across 100+ infrastructure and application technologies. You will define **golden signals**, build **data collection strategies**, and lead the standardization of alerts, dashboards, and RCA workflows for platforms like **Kubernetes, Oracle DB, and Tomcat**. This is a cross-functional leadership role that sits at the intersection of product, platform, DevOps, and SRE. You will **lead a team** and influence how observability is delivered, scaled, and adopted across complex environments. Key Responsibilities Observability Solution Development Design and lead the delivery of observability packages for databases, middleware, cloud-native, and legacy platforms. Define and implement data collection pipelines, including agents, APIs, logs, metrics, traces, and service discovery. Establish **golden signals, SLIs/SLOs**, and health KPIs for performance, availability, and anomaly detection. Dashboards, Alerts & RCA Develop standardized, reusable dashboards, alerts, reports, and troubleshooting playbooks. Automate **RCA workflows** to improve MTTR and reduce alert fatigue. Platform Enablement & Integration Work with engineering to enhance agent capabilities and support new data sources/formats. Guide implementation of platform features for better observability at scale. Team Leadership & Governance Lead and mentor a team of observability engineers and specialists. Define design patterns, reusable modules, and version-controlled libraries. Stakeholder Collaboration Partner with product managers, DevOps, SREs, and customer teams to gather requirements, align priorities, and validate use cases. Ensure deliverables are scalable, well-documented, and production-ready. What You Bring Must-Have Skills 6 10 years of experience in observability, platform engineering, or SRE roles. Hands-on with tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, Splunk. Strong understanding of logs, metrics, traces, profiling, and collection strategies. Experience developing solutions for platforms like Kubernetes, Oracle, PostgreSQL, Tomcat, etc. Proficient in Python, Shell scripting, APIs, and automation tools (**Terraform**, etc.). Familiar with alert fatigue mitigation, anomaly detection, and RCA frameworks. Excellent communication, technical leadership, and documentation skills. Nice to Have Experience managing an observability marketplace or solution catalog. Contributions to open-source observability projects. Certifications in Kubernetes, Observability platforms, or cloud providers (AWS/GCP/Azure). Background in ITSM tools, CMDBs, or incident workflow automation. At VuNet, you ll help build a category-defining observability platform that s already transforming critical infrastructure for leading financial institutions. You ll work with passionate engineers, push technical boundaries, and grow in a high-trust, high-impact environment. What You ll Experience: Ownership of key observability initiatives impacting 300M+ users. Collaboration with SRE, DevOps, and product teams across real-time financial systems. Opportunity to experiment with and shape Gen AI, ML, and emerging telemetry trends. Perks & Benefits Health insurance for you, your parents, and dependents. 1:1 mental wellness support. Training programs, certifications, and career growth opportunities. Transparent, inclusive, and high-trust work culture. Access to cutting-edge technology and Gen AI-powered workspaces.

Job Title: AI/ML Engineer Location: Bangalore Experience: 4 5 Years Qualification: Bachelor s or Master s Degree in Computer Science or a related field Job Description Design and develop machine learning and deep learning systems tailored to business needs. Select and preprocess appropriate datasets; implement and optimize ML algorithms. Conduct machine learning experiments, run tests, and perform statistical analysis to fine-tune models. Train, retrain, and maintain ML systems to ensure accuracy and performance. Extend and customize existing ML libraries and frameworks. Stay updated with the latest research and advancements in machine learning and AI. Requirements Proven experience as a Machine Learning Engineer or similar role. Strong understanding of data structures, data modeling, and software architecture. Deep knowledge of mathematics, probability, statistics, and algorithms relevant to ML. Proficiency in writing clean, robust code in Python. Experience with ML frameworks such as TensorFlow or PyTorch, and libraries like scikit-learn. Skilled in deploying ML models and developing APIs for production environments. Experience with AWS cloud and ML services; knowledge of SageMaker is a plus. Qualification : Bachelors or Masters Degree in Computer Science or a related field

Job Title: Sr. Data Science Engineer Location: Bangalore Experience: 5 8+ Years Job Description As a Senior Data Science Engineer, you will develop and maintain scalable data pipelines and manage API integrations to support growing data volume and complexity. You will play a key role in ensuring data quality and enabling accurate AI model development through effective data handling and automation. Responsibilities Monitor data quality and implement processes for data cleansing and validation. Analyze data to troubleshoot and resolve data-related issues promptly. Develop automation workflows for efficient data labeling, preparation, and augmentation to improve AI model accuracy and utility. Requirements Proven experience as a Data Scientist, Data Analyst, or related role, with experience in data mining. Strong proficiency in data manipulation using Python or R; familiarity with Scala, Java, or C++ for raw data processing is a plus. Experience with business intelligence tools (e.g., Tableau) and big data frameworks like Hadoop and Spark. Strong mathematical foundation, especially in statistics and algebra. Advanced SQL skills with experience in database development, data migration, and integration. Expertise in exploratory data analysis and familiarity with common data science toolkits. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Familiarity with data management tools and experience applying machine learning and AI techniques.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Intern - Software Engineer Location: Bengaluru, India Experience: 0 - 1 Year Qualification: Bachelor s degree in Computer Science, Engineering, or related field Job Type: Internship / Full-time About VuNet VuNet is a pioneering company in Business Journey Observability, using Big Data and Machine Learning to optimize digital experiences in financial services. Their platform monitors billions of transactions monthly and supports leading banks in India and MEA. Accelerated hands-on learning with cutting-edge technologies Meaningful work impacting banking and payments industries Mentorship from experienced tech leaders Fast-paced, collaborative, and innovative culture Roles & Responsibilities Contribute to full product development lifecycle in agile teams Collaborate with product, design, QA, and business stakeholders Participate in design, architecture, coding, testing, and deployment of scalable systems Work with technologies like React, TypeScript, Python/Django, Golang, Java, Kafka, Kubernetes, Big Data tools, and Cloud platforms Adopt best practices including code reviews, unit testing, CI/CD, and DevOps What You Bring Strong programming and problem-solving foundation Interest or exposure to JavaScript/TypeScript, Flutter, Python, Golang, Java, or Rust Bonus: familiarity with Linux, databases, Docker, Kubernetes, or AWS/GCP/Azure Self-driven, curious, and eager to learn What VuNet Offers A chance to work on a world-class, Made-in-India observability platform A culture of innovation, collaboration, and continuous learning Opportunity to make a real-world impact with emerging technologies like Gen AI Qualification : Bachelors degree in Computer Science, Engineering, or related field

DevOps Engineer Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet is a deep-tech leader in Business Journey Observability, leveraging Big Data and Machine Learning to deliver end-to-end digital experience monitoring for major financial institutions. The platform monitors over 28 billion transactions monthly, powering top banks and enterprises in India and MEA. Work on cutting-edge observability technology Join a Series B funded, award-winning startup recognized by Gartner, Forbes, and NASSCOM Collaborate in a fast-paced, innovative environment focused on learning and growth Access to mental wellness support, health insurance (covering family), and career development programs Role Overview: DevOps Engineer Design, develop, and maintain VuSmartMaps deployments across on-premises, cloud, and hybrid environments Automate deployments using Infrastructure-as-Code (IaC) and CI/CD pipelines Manage cybersecurity assessments and remediations for deployments Collaborate with development teams to improve deployment processes and infrastructure support Publish VuSmartMaps in cloud marketplaces (AWS, Azure, GCP) Stay current on DevOps, CI/CD, infrastructure orchestration, cybersecurity, AI workflows, and big data technologies Key Responsibilities Develop and maintain IaC frameworks enabling flexible VuSmartMaps deployment Build and manage CI/CD pipelines using GitHub Actions, Jenkins Monitor infrastructure, conduct cybersecurity testing, and manage patching Improve deployment efficiency and customer experience Collaborate cross-functionally for seamless integration and rollout Must-Have Skills 3+ years building/managing CI/CD pipelines (GitHub Actions, Jenkins) Certified/experienced in Kubernetes, Docker, Terraform, Helm, YAML Hands-on experience with GitOps workflows Knowledge of web servers (Nginx, Django), identity providers (Active Directory, LDAP), load balancers (Traefik) Experience with databases (PostgreSQL, Elasticsearch, Hadoop stack) and secrets management (Key Vault) Familiarity with cloud services (AWS, Azure, GCP) across IaaS, PaaS, SaaS layers Strong Linux and scripting skills (Bash, Python) Excellent communication skills for cross-team collaboration Good-to-Have Skills Exposure to Red Hat OpenShift, VMware, Ansible, Chef, Puppet Familiarity with container orchestration tools (Podman, Docker Swarm, Nomad) Experience optimizing dockerized microservices and container images Benefits Comprehensive health insurance covering you and your family Mental health and 1:1 counseling support Learning culture focused on innovation and career growth Inclusive, transparent workplace culture Access to new Gen AI tools and integrated tech workspace Career development and skill enhancement programs

Job Title: Product Analyst Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming how businesses engage customers through human-level AI on WhatsApp. As part of Y Combinator's W21 cohort, we support over 300 top brands like HUL, ITC, Wow Skin Science, and Piramal Health. Our Gen AI agents are driving millions of interactions daily, now expanding into high-stakes sectors like BFSI, Healthcare, and Retail. At LimeChat, we operate like an elite sports team driven, mission-focused, and constantly raising the bar. If you re passionate about data and want to make a measurable impact in a high-growth AI startup, this is your moment. About the Role We're looking for a Product Analyst who will turn complex product data into clear, actionable insights. This role offers end-to-end ownership from designing metrics and running experiments to influencing roadmap decisions. You'll work closely with PMs, engineers, and designers to guide product development and help answer tough questions through data. If you're experienced in analytics, crave ownership, and thrive in fast-paced environments, we want to hear from you. Responsibilities Product & User Analytics Map user journeys to uncover friction in activation, engagement, and retention. Run deep-dive analyses: retention curves, funnel breakdowns, cohort analysis. Design, execute, and analyze A/B tests to validate hypotheses. Create lightweight forecasting models for revenue and payback predictions. Collaborate with PMs to define and track North-Star and supporting metrics. Self-Serve Insights Build and manage Metabase / Looker dashboards for internal teams. Automate reporting for product reviews and roadmap discussions. Maintain clear documentation of metrics, definitions, and data models. Cross-Functional Collaboration Share insights with Growth and CS teams to help drive upsells and prevent churn. Partner with Engineering on event tracking and data QA. Support executive reporting by prepping investor decks and board metrics. Must-Haves 1 2 years in a product analytics, growth analytics, or product ops role. Strong hands-on SQL skills and experience with a BI tool (e.g., Metabase, Looker, Power BI). Comfortable turning ambiguous product questions into clear metrics and explanations. Solid understanding of core metrics like DAU/WAU/MAU, retention, LTV, CAC, payback. Proactive, detail-oriented, and highly outcome-driven. Nice-to-Haves Experience with SaaS or B2B analytics, especially in chatbots or CX automation. Exposure to Python or R for deep-dive analysis or ML experimentation. Understanding of financial metrics and product-led revenue dashboards. Perks & Benefits Unlimited PTO & sick leave Free lunch and snacks Subsidized fitness membership Pet-friendly office Annual team retreat You won t just be running dashboards you ll be shaping product decisions, owning metrics end-to-end, and influencing the roadmap of an AI company at the cutting edge of conversational commerce. This is a career-defining opportunity to grow fast, work with a high-caliber team, and make measurable impact at scale.

Gen AI Engineer - L1 | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT consulting and services company with over 230,000 employees across 65 countries. We offer innovative solutions in consulting, engineering, and operations to solve complex digital transformation challenges. Role Overview We are looking for an experienced Gen AI Engineer - L1 with deep expertise in Generative AI, LLMs, RAG pipelines, and Python-based machine learning frameworks. The role will focus on developing secure, scalable AI systems using modern tools and cloud platforms. Key Responsibilities Design, implement, and optimize generative AI models using LangChain, LLaMA, Hugging Face, etc. Develop RAG pipelines and integrate with LLMs for advanced AI solutions. Create, test, and optimize prompt templates across different base models. Implement guardrails for prompt security to prevent prompt injection, jailbreaks, and leaks. Build efficient backend applications using Python, Django, and related tools. Work with vector databases to enhance generative AI workflows. Collaborate on data grooming and model training across business units. Benchmark model performance and develop auto-prompting systems. Ensure adherence to minimum design standards in prompt engineering use cases. Mandatory Skills Gen AI, LLMs, RAG Pipelines LangChain, LLaMA, Hugging Face Python, TensorFlow, PyTorch, Django NLP, Machine Learning, Deep Learning Vector Database integration Preferred Skills Azure or AWS Cloud Platforms MLOps, Kubernetes GitHub, Bitbucket Experience with GPT-4 Domain exposure in Banking or Financial Services Join Wipro to be part of a company that thrives on innovation, reinvention, and digital excellence. Work on impactful GenAI projects, grow your career, and contribute to shaping the future of AI in real-world applications. We welcome applications from individuals with disabilities.

Data Scientist with GenAI | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT services and consulting company with over 230,000 employees in 65+ countries. We provide transformative digital solutions across consulting, engineering, and cloud. Job Overview We are seeking a skilled Data Scientist with Generative AI expertise to lead the development of AI/ML solutions using advanced technologies like LLMs, LangChain, and AWS. You will architect and implement end-to-end GenAI pipelines for enterprise-grade applications. Key Responsibilities Design and implement AI/ML solutions using Python and AWS. Develop GenAI systems using LLMs, LangChain, and RAG pipelines. Fine-tune AI models to optimize performance and accuracy. Create custom solutions when off-the-shelf tools don t meet requirements. Build SQL-based data pipelines extracting from Snowflake for model training. Integrate NLP capabilities into AI architecture to process textual data. Ensure responsible AI practices including security, fairness, and transparency. Lead and mentor team members, upholding coding and design standards. Communicate progress, risks, and strategies to stakeholders clearly. Mandatory Skills Python GenAI, LLMs AWS Cloud Services Preferred Skills NLP, AI/ML LangChain, RAG SQL, Snowflake Model fine-tuning and custom architecture development Join Wipro and be part of a global digital transformation journey. We empower talent to lead innovation and embrace reinvention. Applications from people with disabilities are explicitly encouraged.

Gen AI AWS Engineer | Bengaluru, India Experience: 8 10 Years Mandatory Skills: AWS, Generative AI About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in consulting and technology services with over 230,000 employees across 65 countries. We provide digital transformation solutions that are innovative, sustainable, and scalable. Role Overview We are hiring a highly skilled Gen AI AWS Engineer to lead the architecture, development, and delivery of AI-driven cloud solutions. This role focuses on leveraging AWS infrastructure and Generative AI technologies to solve complex business problems at scale. Key Responsibilities Architecture and Solution Design Design and implement scalable AI/ML solutions using AWS and GenAI frameworks. Lead solution design for enterprise initiatives and RFPs. Develop architectural documentation and reusable design patterns. Evaluate current architectures and recommend improvements and modernization plans. Delivery Enablement Provide frameworks and technical direction to development teams. Monitor project risks and propose mitigation strategies. Ensure alignment with architecture principles and best practices. Client Engagement Participate in pre-sales activities and client presentations. Build trusted relationships with clients by demonstrating technical thought leadership. Coordinate with stakeholders to ensure successful delivery of AI solutions. Innovation & Competency Building Create PoCs, whitepapers, and solution demos in GenAI and AWS domains. Represent Wipro s capabilities at industry events and internal forums. Mentor junior architects and contribute to internal upskilling initiatives. Team Management Recruit, train, and retain high-performing AI/ML engineers. Conduct performance reviews and set goals for team members. Drive employee engagement and diversity across the architecture team. Be part of a company that thrives on innovation, reinvention, and purpose. Work with cutting-edge Generative AI solutions and lead impactful transformations for global clients. Applications from individuals with disabilities are explicitly welcome.