GenAI Senior Engineer

Job Location- Bangalore / Hyderabad / Chennai / Pune

Must have skills which are non-negotiable

• GenAI
• Python
• Lang Chain
• LangGraph
• AWS Bedrock

We are looking for a highly skilled Senior Generative AI Developer with strong expertise in designing, developing, and deploying enterprise-grade GenAI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Python, and AWS Bedrock.

The ideal candidate should have experience building scalable AI applications, agentic workflows, prompt engineering frameworks, and integrating LLM-powered solutions with enterprise platforms.

Required Skills

• Hands-on experience in developing Generative AI applications using Python
• Strong experience working with Large Language Models (LLMs), including model selection, fine-tuning concepts, prompt engineering, and evaluation
• Hands-on expertise in LangChain for AI orchestration, tool integration, memory management, and agent development
• Strong experience with LangGraph for building multi-agent and stateful AI workflows
• Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures
• Hands-on experience with AWS Bedrock and foundation model integration
• Experience integrating vector databases such as OpenSearch, Pinecone, ChromaDB, FAISS, or Weaviate
• Strong knowledge of embeddings, semantic search, chunking strategies, and document processing pipelines
• Experience developing REST APIs and microservices using FastAPI or similar Python frameworks
• Good understanding of cloud-native architectures and deployment patterns on AWS
• Experience in AI application monitoring, evaluation, guardrails, and responsible AI practices
• Familiarity with model observability and evaluation frameworks
• Excellent analytical and problem-solving abilities

Preferred Skills

• Experience with Agentic AI frameworks and multi-agent systems
• Knowledge of AWS services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and CloudWatch
• Experience with Prompt Management and AI Governance frameworks
• Exposure to knowledge graph implementations and enterprise search solutions
• Familiarity with MLOps, LLMOps, and AI observability platforms
• Experience working in Banking and Financial Services domain

Key Responsibilities

• Design and develop enterprise-scale GenAI solutions leveraging LLMs and AWS Bedrock
• Build intelligent RAG-based applications and conversational AI assistants
• Develop multi-agent workflows using LangGraph and LangChain
• Optimize prompts, retrieval mechanisms, and model performance for business use cases
• Integrate AI solutions with enterprise systems, APIs, and knowledge repositories
• Establish AI application monitoring, evaluation, and governance practices
• Collaborate with architects, product owners, and business stakeholders to deliver AI-powered capabilities
• Mentor junior developers and provide technical lead ership on GenAI initiatives

Important :

Notice period : Immediate to 15-30 days ONLY.

Candidates serving Notice period will be preferred.

Please note - There should not be Career Gap more than 6 months(No Career Break)

Graduation score should be 60% & above

Pre Screening BGV (Background Verification)is mandatory [UAN/PF without any overlap issue is required.]