Senior Ai Engineer Job in Themathcompany

Job Title: Senior AI Engineer

Location: Bengaluru, Karnataka, India

Department: GenAI

Experience: 4.5 to 7 years

Open Positions: 5

About the Role

As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering).
• Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment.
• Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines.
• Ensure projects align with overall business objectives and data strategies.
• Oversee data quality, integrity, and security in AI engineering projects.
• Build reusable frameworks to enhance the efficiency and scalability of AI systems.
• Manage client communications to translate requirements into technical outcomes.
• Identify skill gaps and create opportunities for professional development.
• Drive initiatives for improving data operations and AI delivery efficiency.

Required Technical Skills

• 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions.
• Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming.
• Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering.
• Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems.
• Proficiency with Databricks workflows, including job and cluster management, and API usage.
• Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques.
• Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development.
• Expertise in SQL optimization and database schema design.
• Experience deploying AI models using Docker and Kubernetes.
• Familiarity with version control using GitHub.
• Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments.
• Optional experience with PySpark for data processing.
• Basic understanding of CI/CD pipelines and deployment best practices.

Required Non-Technical Skills

• Strong problem-solving ability with financial impact awareness in both team management and solution delivery.
• Excellent verbal and written communication skills, comfortable interacting with mid-level client management.
• Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly.
• Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening.
• Demonstrated leadership and mentorship capabilities.
• Self-motivated with a strong sense of ownership.

Good to Have

• Familiarity with data visualization tools and techniques.
• Understanding of data security, privacy, governance, and compliance frameworks.
• Experience with graph databases and graph processing frameworks.
• Knowledge of data virtualization and federation methods.
• Skills in data profiling and data quality management.

Education

• Bachelor s degree in Engineering, Computer Science, or a related field.