Role: AI Engineer (Senior)
Year: 2026
Qualification: Not Specified
Experience (years): 5-10
Job description:
• 7–12 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 tool‑using LLM workflows
• Solid experience with Python for GenAI development
• Hands‑on 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:
• 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 
Technical skills: Python, AWS/Azure, LLMs, GenAI, RAG, VectorDB, LangChain, LangGraph, LlamaIndex, Agents
Soft skills: Communication, Problem Solving