Senior AI Engineer - Generative AI (AWS Bedrock & Agentic Systems)
Tech Mahindra
Location
🇮🇳 India
Type
full_time
Salary
Undisclosed
Posted
1w ago
Job Description
Role Title: Senior AI Engineer - Generative AI (AWS Bedrock & Agentic Systems) Experience: 7-12 years Location: India (Remote) Notice Period: Immediate to 15 days only
Role Summary
We are looking for Senior AI Engineers with strong hands on expertise in Generative AI on AWS, specifically AWS Bedrock and agent-based AI architectures.
The role
involves designing and building production grade AI agents, RAG systems, and orchestration workflows that integrate with enterprise applications.
Key Responsibilities
Designed and developed Generative AI applications using AWS Bedrock, integrating foundation models such as Claude, LLaMA, Titan, etc.
Built agentic AI systems (planner-executor, tool calling agents, multi-agent workflows) to automate complex business processes
Implemented RAG pipelines using vector databases (OpenSearch, Pinecone, FAISS, etc.) and enterprise data sources
Developed prompt engineering strategies, guardrails, and evaluation frameworks for accuracy, safety, and cost optimization
Integrated AI agents with AWS services such as Lambda, API Gateway, Step Functions, DynamoDB, S3
Ensured security, privacy, and compliance (IAM, data masking, encryption, model access controls)
Clear understanding of GenAI risks, hallucination management, prompt controls
Good to Have
Skills • Experience with frameworks like LangChain, LlamaIndex, Semantic Kernel • Exposure to enterprise domains such as BFSI, healthcare, insurance, or pharma • Experience in model evaluation, benchmarking, and observability • Prior experience working on customer-facing or production AI platforms Mandatory Skills: • Hands on AWS Bedrock implementation (real project experience, not learning/demo) • Agentic AI / LLM agents / tool calling workflows • RAG architectures + vector databases • Strong Python background