AI Engineer - RAG Applications

Job Description : Experience : 6 years & Plus

Location : Pune, Mumbai, Bangalore, Gurgaon

Requirements : Immediate joiners with good comms, work from office required, and shift timing from 5 PM to 2 am IST.

Job Title : AI Engineer

Required Skills :

• Strong hands-on experience building AI/LLM-based RAG applications and AI agents.

• Experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar agent frameworks.

• Experience with MCP servers and MCP client integrations.

• Proficiency in Python and backend/API development.

• Experience building services with FastAPI.

• Strong understanding of LLMs, AI agents, RAG, embeddings, rerankers, vector databases, and retrieval systems.

• Experience with prompt engineering, tool calling, structured outputs, and agent orchestration.

• Experience with foundation models such as GPT, Claude, Llama, Gemini, Amazon Nova, or equivalent.

• Experience with vector databases such as Pinecone, ChromaDB, Qdrant, Weaviate, or similar technologies.

• Experience with object/blob storage such as Amazon S3.

• Experience with search and vector search systems such as Amazon OpenSearch.

• Experience with semantic search, hybrid search, BM25, and retrieval optimization techniques.

• Experience with cross-encoders, bi-encoders, reranking models, and embedding models.

• Experience with AI observability and evaluation tools.

• Experience with Git commands.

• Experience using GitHub and GitHub Actions for version control, CI/CD, and collaboration.

• Experience with SQL and database design.

• Knowledge of cloud security, authentication, authorization, and secure AI application development.

Responsibilities :

• Build AI/LLM applications on AWS using AWS services.

• Prompt engineering and evaluation frameworks.

• Build AI agents using frameworks such as LangChain, LangGraph, Amazon Bedrock, AutoGen, or similar tools.

• Develop backend services and APIs using FastAPI.

• Integrate AWS services such as Amazon Bedrock, S3, Lambda, ECS/EKS, OpenSearch, and AWS database services.

• Work with foundation models such as OpenAI GPT, Anthropic Claude, Meta Llama, Amazon Nova, Gemini, or similar models.