GenAI Developer

Role Overview

We are looking for an AI Engineer / GenAI Backend Developer who can build production-ready AI applications by combining Python backend engineering, Generative AI, RAG, and Agentic AI.

Responsibilities

• Design AI agents and build agentic workflows using LangGraph.
• Integrate tools, APIs, and develop scalable backend services.
• Implement RAG pipelines including document ingestion, chunking, and retrieval.
• Develop and manage MCP servers, tools, and agent integrations.
• Build and maintain REST APIs and microservices using FastAPI or Flask.
• Deploy and manage services using Docker and AWS cloud architectures.

Requirements

• Hands-on experience with Python, LangChain, and LLMs.
• Proficiency in vector databases and PostgreSQL.
• Ability to build and debug real-world GenAI systems.
• Strong problem-solving, debugging, and engineering judgment.
• Experience with Git/GitHub, Docker, and CI/CD.

Skills

• Python
• FastAPI
• LangChain
• AWS
• Vector Databases

Nice to Have

• Experience with LangSmith, Pinecone, pgvector, or Qdrant.
• Knowledge of Terraform or AWS CDK.
• Experience with LLM evaluation and guardrails.

Benefits

• Health insurance
• Provident Fund