Role Summary :

We are looking for Senior AI Engineers with strong handson expertise in Generative AI on AWS, specifically AWS Bedrock and agent-based AI architectures. The role involves designing and building productiongrade 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 (plannerexecutor, toolcalling 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)

- Optimized inference latency and token usage; monitored production workloads and cost metrics

- Collaborated with MLOps/Platform teams to support CI/CD, monitoring, and scalable deployments

- Acted as a senior technical contributor, guiding juniors and reviewing GenAI solution designs

Must Have Skills (NonNegotiable) :

- 7 to 12 years of overall software/AI engineering experience

- Strong hands-on experience with AWS Bedrock in real projects (not PoC-only exposure)

- Proven experience building agentic AI or toolusing LLM workflows

- Solid experience with Python for GenAI development

- Handson experience with RAG architectures, embeddings, and vector stores

- Strong AWS fundamentals : IAM, networking basics, serverless services

- 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 :

- Handson AWS Bedrock implementation (real project experience, not learning/demo)

- Agentic AI / LLM agents / toolcalling workflows

- RAG architectures + vector databases

- Strong Python background