AI AND Machine Learning Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

Full-Stack Developer Experience: 2 3 Years Education: BSc, BTech/BE, BCA, MTech, MCA Location: Pune About the Role We are looking for a talented Full-Stack Developer with hands-on experience in both frontend and backend technologies. The ideal candidate is skilled in building scalable, maintainable, and high-performance web applications, working across frameworks like NestJS, ExpressJS, LoopBack, and ReactJS, while adhering to industry best practices. Required Skills Backend: NestJS, ExpressJS, LoopBack Frontend: ReactJS Database: SQL (PostgreSQL, MySQL) Good to Have Angular AWS or other cloud platforms PostgreSQL advanced features Knowledge of CI/CD pipelines Key Responsibilities Lead end-to-end product development, ensuring smooth integration and optimal performance for both frontend and backend systems. Architect and design robust, scalable solutions during project planning, aligning technical strategies with business goals. Set up and configure projects from scratch, establishing a strong foundation for frontend and backend frameworks. Deploy and manage applications on cloud platforms such as AWS, Azure, GCP, or Digital Ocean, ensuring reliability, scalability, and security. Mentor and guide team members, fostering technical growth and knowledge sharing. Explore and adopt emerging technologies to meet evolving product requirements and drive innovation. Collaborate with cross-functional teams, contributing to effective communication, critical thinking, and strategic decision-making. Requirements 2+ years of experience in backend development using NestJS, ExpressJS, or LoopBack. 2+ years of experience with frontend development using ReactJS. Strong experience with relational databases like PostgreSQL or MySQL. Experience deploying and managing applications on cloud platforms (AWS, Azure, GCP, Digital Ocean). Skilled at writing clean, maintainable, and efficient code while balancing business priorities. Excellent communication skills and a collaborative mindset. Familiarity with project management tools like JIRA and version control systems like Git. Good to Have Skills Knowledge of other backend frameworks such as Django, Flask, or Spring Boot. Understanding of AI and Machine Learning concepts. Hands-on experience with CI/CD tools for streamlined development and deployment. Familiarity with testing and automation frameworks to ensure software reliability. Qualification : BSc, BTech/BE, BCA, MTech, MCA

Position: Manager M2 / M3 (Vehicle Dynamics) Functional Unit: Vehicle Dynamics Location: Pune Department: Vehicle Dynamics About SRDI: SRDI is a trailblazer shaping the future of mobility through cutting-edge automotive research, IT, and product development. We are passionate pioneers committed to leveraging innovative technologies to create safer, smarter, and more sustainable transportation solutions. From sustainable mobility to connected vehicles, we are electrifying the future of mobility! At SRDI, we provide a dynamic environment where talent meets tomorrow s mobility. Whether you are an engineer, programmer, or strategist, we foster personal and professional growth while redefining the future of automotive technology where innovation meets sustainability. About Suzuki: Join a global automotive leader with over a century of innovation! Founded in 1909, Suzuki has 70,000 employees worldwide and has sold more than 3 million automobiles. With 31 production facilities across 21 countries, Suzuki offers a diverse range of products including automobiles, motorcycles, motorized wheelchairs, and electro-senior vehicles, sold in over 209 countries. Educational Qualifications: Graduation: B.Tech in Automobile / Mechanical / Electronics / Mechatronics Post-Graduation: M.Tech in Automobile / Mechanical / Electronics / Mechatronics Experience: Minimum: 3 years Maximum: 5 years Required: Experience in modeling and mechanism analysis using tools such as Adams, SolidWorks, RecurDyn, SIMPACK, or MotionSolve Job Responsibilities: Enhance vehicle development efficiency by visualizing specifications that achieve target performance. Develop and optimize CAE models for ride comfort, including elastic body modeling. Perform optimization calculations and analyze CAE data related to ride comfort. Conduct on-site deputation/training at Suzuki Motor Corporation, Japan (6 12 months). Software Knowledge: Adams MotionSolve RecurDyn SIMPACK SolidWorks Key Competencies & Skills: Modeling experience with mechanism analysis tools (Adams, SolidWorks, RecurDyn, SIMPACK, MotionSolve). Structural analysis using MSC.Nastran and Altair HyperWorks. 1D-CAE experience with MATLAB/Simulink, Modelica, or AMESim. Programming proficiency in MATLAB/Simulink, Excel, Python, or other numerical computing tools. Statistical knowledge for data analysis. Experience with AI and machine learning applications in vehicle dynamics. Vehicle motion analysis using CarSim or CarMaker. Experience in MBD development at OEMs. Japanese language proficiency preferred. Hands-on experience with sensory evaluation of steering stability and ride comfort. Performance development experience related to steering stability and ride comfort in mass production vehicles. Practical knowledge of vehicle operation stability through real-world experiments and data analysis. Soft Skills: Team collaboration Conceptual thinking and analytical ability Strong communication and presentation skills Problem-solving and creativity Eagerness to learn Qualification : B.Tech in Automobile / Mechanical / Electronics / Mechatronics

Job Title: Computer Vision Engineer Location: Pune Experience: 3+ years Job Overview We re looking for a passionate Computer Vision Engineer to join a fast-paced startup environment. In this role, you will research, develop, and maintain scalable computer vision and machine learning solutions that analyze video feeds from online sessions, detecting anomalies and enhancing user experience. Required Skills & Qualifications BS/MS in Computer Science or equivalent, with 3+ years of industry and/or research experience in AI, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficient in C/C++ and Python, with solid experience working in a Linux environment. Hands-on experience with libraries and frameworks such as OpenCV, NumPy, SciPy, Scikit-learn, etc. Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Familiarity with Git version control. Highly Desirable Expertise in image classification, segmentation, and autonomous feature learning. Strong foundation in linear algebra, optimization techniques, probability, and statistics. Experience in software architecture, API design, and seamless system integration. Background in parallel programming techniques. Practical experience with vision applications in real-world projects. Join us to innovate in the field of computer vision and help shape the future of intelligent video analysis. Apply today to be part of our dynamic team!

Designation: Java Developer Location: Pune Work Type: Full Time About the Role At Cognologix, we help clients make sense of their large data investments by building analytics solutions and machine learning applications. As a Java Developer, you will work with cutting-edge cloud-native technologies to process terabytes of data into meaningful insights. Key Responsibilities Design, implement, and maintain high-volume, low-latency Java-based applications. Collaborate with Data Scientists, Engineers, and Product Managers to convert raw data into actionable enterprise insights. Work in a dynamic, product-focused environment to deliver enterprise-class products. Ensure optimal application performance, quality, and responsiveness. Write well-designed, testable, and maintainable code. Design and implement RESTful APIs. Continuously improve software development practices and leverage AI tools to enhance productivity. Required Skills 2+ years of experience building cloud-native microservices-based applications using Java, Spring Boot, Kafka, and SQL/NoSQL databases. Proficient in Spring, Spring Boot, and Spring Security frameworks and agile methodologies. Strong knowledge of distributed, scalable Java applications. Familiarity with AI tools to improve code quality and productivity. Hands-on experience with distributed event architectures like Kafka, AWS, OpenShift, and database management. Ability to create well-documented RESTful APIs with specification-by-example tests. Preferred Skills T-shaped skills with eagerness to work across the full stack. Exposure to containerization and orchestration tools like Docker and Kubernetes. Familiarity with monitoring tools like Prometheus. Experience with Apache Spark, Kafka, or building data pipelines. Collaboration with DevOps and Test Automation teams to improve CI/CD pipelines and developer experience. Startup-like culture with high autonomy and small teams. Opportunities to specialize in emerging technologies. Competitive salary and family benefits. Performance-based career growth. About Cognologix Cognologix empowers companies to innovate and disrupt by reimagining their business models. We are data-focused and dedicated to helping clients build the next generation of products efficiently using modern, cloud-native technologies.

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Job Title: Software Engineer AI/ML Location: Pune Qualification: B.E./B.Tech/M.E./M.Tech Experience: 2 4 Years Reporting To: Lead Software Engineer / Project Manager Role Overview: We are seeking a passionate and skilled AI/ML Software Engineer to join our growing team. The ideal candidate will be responsible for designing and developing intelligent systems using cutting-edge Machine Learning and Artificial Intelligence techniques. You will play a key role in building data-driven solutions that automate decision-making and improve business outcomes. Key Responsibilities: Study, analyze, and transform data science prototypes into functional ML solutions. Design and build AI and Machine Learning systems to automate predictive models. Research, implement, and optimize ML algorithms and tools based on project needs. Select appropriate datasets and design suitable data representation techniques. Develop, test, and fine-tune ML models through rigorous experimentation and statistical analysis. Train, retrain, and update ML systems as required. Extend or customize existing ML libraries and frameworks. Stay updated with the latest trends and advancements in AI/ML technologies. Required Skills & Abilities: 2 4 years of hands-on experience in AI/ML development. Solid understanding of Data Structures, Algorithms, and strong mathematical aptitude. Strong programming skills in Python, with working knowledge of scikit-learn, pandas, and other core ML libraries. In-depth knowledge of AI/ML algorithms, model evaluation techniques, and performance metrics. Experience with Deep Learning frameworks like TensorFlow, Keras, or PyTorch is a plus. Exposure to MLOps tools for model deployment and monitoring is preferable. Good communication skills and ability to manage interactions with clients and cross-functional teams. Strong problem-solving attitude and a willingness to learn continuously. Qualification : B.E./B.Tech/M.E./M.Tech/MCA

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

Position: Analyst, Operations Location: Pune, Maharashtra, India Our Mission: Healthcare should work for patients but it often doesn t. Zocdoc empowers patients by providing a leading healthcare marketplace where millions can easily find and book care across specialties and insurance plans nationwide. We aim to transform healthcare into a competitive, consumer-friendly industry that raises quality and lowers costs. Your Impact: As an Analyst, Operations, you ll partner with Provider Set Up teams to turn operational activities into actionable insights. Through data analysis, metrics tracking, and visualization, you ll optimize workflows, projects, and overall team performance helping Zocdoc run smoothly and efficiently. You ll Enjoy This Role If You Are: Detail-oriented and results-driven, with a knack for extracting meaningful insights from diverse data sources. Comfortable working independently and collaboratively in a fast-paced, dynamic environment. Interested in leveraging emerging technologies like machine learning and AI to innovate. Technically proficient in data extraction, analysis, and visualization. A strong communicator and multitasker who quickly adapts to new challenges. Day-to-Day Responsibilities: Collaborate across teams to develop/refine performance metrics aligned with business goals. Manage projects end-to-end: data analysis, visualization, testing, deployment, and documentation. Standardize data interpretation and management practices to ensure consistency and integrity. Identify and streamline inefficient workflows using dashboards and consolidated data sources. Design and build custom queries and dashboards to support business decisions. Train and support end-users in understanding and leveraging new reports and dashboards. What Success Looks Like: Bachelor s degree with at least 60% in 10th/12th/graduation from a top-tier institution. 4+ years experience in data management, analysis, visualization, metrics tracking, and modeling. Advanced proficiency in SQL. Experience with Looker/LookML and Salesforce reporting (preferred). Python skills are a plus. Strong independent problem-solving skills. Excellent verbal and written communication. Benefits: Join a smart, supportive, and mission-driven team. Competitive compensation and medical insurance. Perks like catered lunch, Ping Pong, daycare facilities, wellness programs, and more. Cellphone and Wi-Fi reimbursements. Competitive parental leave and sabbatical (after 5 years). Annual sponsored health check-ups. Certified Great Place to Work (2024-2025). About Zocdoc: Zocdoc is the nation s leading digital health marketplace, helping millions find, compare, and book healthcare effortlessly. Founded in 2007, we are driven by our mission to empower patients and guided by our core values. We prioritize diversity, equity, and inclusion, fostering a collaborative, welcoming workplace. Qualification : Bachelors degree with at least 60% in 10th/12th/graduation from a top-tier institution.

Solution Architect Location: Pune Experience: 10+ Years Job Type: Full-Time Profile Summary A highly skilled and experienced Solution Architect with over a decade in the IT service industry, specializing in designing and delivering comprehensive technical solutions across diverse domains. Expert in leading complex projects and aligning technology with business goals, leveraging cutting-edge technologies such as AI, cloud computing, and software development. Proven success in collaborating with cross-functional teams to architect scalable, secure, and efficient solutions for clients across healthcare, finance, real estate, and e-commerce sectors. Key Expertise Solution Design & Architecture: Architecting end-to-end scalable, high-performance, and secure solutions aligned with business objectives. Software Development: Expertise in full-stack development with React (frontend) and Python Django (backend), delivering enterprise-grade applications. AI Integration: Implementing AI-driven solutions including Generative AI, machine learning, and predictive analytics to automate processes and enhance decision-making. Cloud Architecture: Designing and deploying cloud solutions on AWS, Azure, and Google Cloud, with deep experience in migration, infrastructure design, and DevOps. Data Management & Analytics: Leveraging data management platforms and real-time analytics for business intelligence and audience targeting. Security & Compliance: Ensuring data security and regulatory compliance (HIPAA, GDPR) in solution designs. Experience Highlights AI and Generative AI Solutions Led design and implementation of AI-powered models for content generation, predictive analytics, and real-time decision-making in healthcare and finance. Integrated AI functionalities into business applications to improve operational efficiency and user experience. Cloud Solutions Design Architected cloud infrastructures optimizing cost, security, and performance across AWS, Azure, and Google Cloud. Directed cloud migrations and implemented cloud-native services including serverless computing, container orchestration (Docker, Kubernetes), and CI/CD pipelines. Full-Stack Software Development Led teams building scalable web applications using React and Python Django. Designed microservices and REST APIs ensuring seamless integration and optimized security. Data Management & Analytics Delivered data management platforms for audience segmentation in AdTech and e-commerce. Developed real-time bidding and programmatic advertising systems integrating advanced analytics. Telemedicine & Healthcare Solutions Designed secure, compliant telemedicine platforms integrating EHR systems, ensuring HIPAA and GDPR adherence. Developed patient data management systems focusing on security and regulatory compliance. Technical Skills Languages: JavaScript, Python, HTML/CSS, SQL, TypeScript Frameworks: React, Node.js, Django, Flask AI/ML: TensorFlow, PyTorch, GPT models, Generative AI, Predictive Analytics Cloud Platforms: AWS, Azure, Google Cloud, Docker, Kubernetes Data Management: PostgreSQL, MySQL, MongoDB, Data Lakes, DMPs Security: SSL, Firewalls, IAM, Data Encryption, HIPAA, GDPR compliance DevOps: Jenkins, Git, Docker, Kubernetes, CI/CD Pipelines Soft Skills Strong leadership and collaboration with cross-functional teams. Strategic thinker balancing innovation with business objectives. Excellent client engagement and communication. Problem-solving under tight deadlines with innovative solutions. Certifications AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) Certified in Generative AI Applications Microsoft Certified: Azure Solutions Architect Expert

Lead Developer Generative AI Location: Pune Company: HeapTrace Technology Job Type: Full-Time About HeapTrace Technology At HeapTrace Technology, we are pioneers in innovation, delivering transformative IT solutions across industries. Our expertise spans software development, AI integration, cloud services, and more. We empower businesses to leverage technology for accelerated growth and lasting success. Join us to be part of a dynamic team pushing the frontiers of AI. Job Description We are seeking an experienced Lead Developer specializing in Generative AI to lead the design, development, and deployment of cutting-edge AI models and applications. You will collaborate with cross-functional teams to embed generative AI into our products and services, driving innovation and business value. Responsibilities Lead Generative AI Development: Design and implement advanced generative models such as GPT, GANs, and VAEs for content generation, data augmentation, and other applications. Project Leadership: Manage AI projects from ideation through deployment, ensuring alignment with business goals and timely delivery. Cross-Functional Collaboration: Partner with product managers, designers, and developers to integrate AI functionalities seamlessly into solutions. Research & Innovation: Keep abreast of the latest AI advancements and integrate relevant innovations into projects. Mentorship: Guide junior developers and data scientists, fostering a culture of collaboration and innovation. Deployment & Scaling: Optimize AI models for performance and scalability in production environments. Ethical AI: Ensure responsible AI practices, addressing ethical implications and regulatory compliance. Requirements Education: Bachelor s or Master s in Computer Science, AI, Machine Learning, or related field. Experience: Minimum 5 years in AI/ML development with 2+ years focused on generative models. Technical Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of machine learning algorithms and deep learning architectures. Experience with NLP models (e.g., GPT, BERT) and generative models such as GANs and VAEs. Leadership: Proven track record of leading AI projects and teams. Problem-Solving: Ability to translate business needs into technical solutions. Communication: Excellent verbal and written skills, capable of explaining complex AI concepts to non-technical audiences. Ethics: Awareness of AI ethical considerations including bias mitigation and data privacy. Nice to Have Experience deploying AI models on cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Knowledge of data engineering and working with large datasets. Publications or active contributions to the AI research community. Competitive Salary: Attractive compensation aligned with your experience. Flexible Work Environment: Remote work options and flexible schedules. Professional Growth: Access to learning opportunities, conferences, and skill development. Innovative Projects: Work on impactful AI initiatives that push technology boundaries. Collaborative Culture: Join a diverse, creative, and supportive team environment. Qualification : Bachelors or Masters in Computer Science, AI, Machine Learning, or related field.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Qualifications: 7+ years of experience working in the AI & Automation field Proven experience in designing and implementing AIOps solutions in large-scale environments; strong expertise as an Automation Engineer with a focus on AIOps, Generative AI, and Conversational AI. Hands-on experience withAmeliaAIOps software and integrations is a must Strong knowledge of AI/ML techniques applied to IT operations. Proficiency with automation tools (e.g., Ansible, Puppet, Terraform, Chef etc). Expertise in cloud platforms (AWS, Azure, GCP), with hands-on experience in automation and orchestration. Solid understanding of APIs, web services, and integration technologies (e.g., REST, GraphQL, Kafka). Proficiency in scripting/programming languages (Python, Java,Bash, etc). Familiarity with observability tools (e.g., Splunk, Dynatrace, New Relic) and ITSM tools (e.g., ServiceNow) Strong background in machine learning and deep learning algorithms. - Proficiency in Python, TensorFlow, and PyTorch, Huggingface for developing AI models. Generative AI frameworks Langchain, LlamaIndex, Agentic Frameworks - AutoGen, Semantic kernel, crewAI, promptflow,Langflow, Langraph Deep understanding of transformer architectures and diffusion models Experience in generative AI techniques such as GANs and VAEs. - Ability to design and implement scalable and efficient AI systems. Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy Strong communication, problem solving and leadership skills, with the ability to work collaboratively with diverse teams. Certifications in AWS, Azure, Generative AI or relevant AI technologies are a plus. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Operations Research Scientist Location: Pune, India About Aera Technology Aera Technology is a leading Decision Intelligence company, empowering enterprises to operate with greater efficiency, intelligence, and sustainability. Our cutting-edge platform, Aera Decision Cloud , seamlessly integrates with existing systems to digitize, augment, and automate decision-making in real time. Trusted by some of the world's most recognized brands, Aera delivers millions of AI-driven recommendations that drive significant revenue growth and cost savings. Role Overview We are seeking an exceptional Operations Research Scientist to join our team in Pune, India. In this role, you will work on challenging mathematical optimization applications, leveraging data science and advanced optimization modeling techniques. You will play a key role in developing analytical strategies and models to enhance efficiency and cost-effectiveness across various operational domains. Key Responsibilities Analyze and solve complex operational problems related to planning, pricing, and supply chains using data-driven approaches. Design, implement, test, and deploy robust optimization algorithms for real-world applications. Develop large-scale linear and integer programming models, heuristic solutions, and efficient optimization techniques. Collaborate closely with solution delivery teams to promote and implement optimization-driven strategies. Work directly with customers and engagement leaders to support live projects and deliver impactful solutions. Qualifications & Skills Bachelor s degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline. 10-15 years of relevant experience in mathematical optimization, data modeling, or operations research. Strong expertise in optimization methods and solvers (e.g., CPLEX, Gurobi, COIN-OR). Proficiency in Python and experience working with large-scale data environments. Ability to work proactively in a remote-friendly environment without requiring micromanagement. Technical Environment Cloud Infrastructure: AWS Operating System: Linux Big Data & Analytics: Spark Programming Language: Python At Aera Technology, we foster an innovative and collaborative workplace that enables employees to grow and thrive. As part of our global team, you will work on cutting-edge technologies and drive impactful solutions for some of the world s top enterprises. We offer: Competitive compensation and company stock options. A dynamic, flexible, and remote-friendly work environment. Opportunities for professional growth and continuous learning. Equal Opportunity Employer Aera Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status. Join us and be a part of building a smarter, more sustainable future! Qualification : Bachelors degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline.

About Aera Technology Aera Technology is a leader in Decision Intelligence, helping enterprises operate more efficiently, intelligently, and sustainably. Our Aera Decision Cloud seamlessly integrates AI-driven innovations with enterprise systems to automate and enhance decision-making in real time. Product Marketing Manager (AI & IT) We are looking for a Product Marketing Manager with expertise in AI and IT to craft compelling narratives, engage CIOs, and showcase the transformative power of Decision Intelligence. In this role, you will translate complex AI capabilities into clear, impactful messaging that resonates with technical and business audiences. Key Responsibilities Define and execute an AI and IT-focused product marketing strategy. Develop product positioning, value propositions, and messaging. Create content that demystifies AI concepts and highlights Aera s capabilities. Collaborate with marketing and product teams to produce technical content and whitepapers. Design and execute data-driven marketing campaigns. Develop competitive comparison guides. Work closely with Product Management on product launches. Provide AI market insights for campaign strategies. Success Metrics Product revenue performance Win/loss rates Product pipeline and forecast accuracy Sales adoption of enablement materials About You 8+ years of experience in product marketing or customer-facing roles. Technical expertise in AI and IT, with knowledge of machine learning and automation. Strong storytelling and content development skills. Experience defining go-to-market strategies and executing data-driven campaigns. Ability to assess market trends and competitive positioning. Collaborative mindset with strong communication skills. Customer-centric approach to marketing. Preferred: MBA and a degree in Engineering, Computer Science, or Applied Sciences. Aera Technology fosters an innovative and inclusive work environment where employees thrive. We offer: Competitive salary and stock options Comprehensive benefits Professional development programs A flexible work environment Equal Opportunity Employer Aera Technology is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status. Join us and help shape the future of Decision Intelligence! Qualification : MBA and a degree in Engineering, Computer Science, or Applied Sciences.

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.