Job Description :

We are looking for a highly skilled Python Developer with strong experience in Generative AI (GenAI), AWS Bedrock, Agentic AI, and LLM ecosystems. You'll work on building, optimizing, and deploying AI-driven solutions using modern frameworks like LangChain, LangGraph, MCP, and AgentOps, along with RAG pipelines, fine-tuning, and MLOps practices.

Key Responsibilities :

- Build scalable GenAI applications using Python, LangChain, LangGraph, MCP, and AgentOps

- Integrate LLMs (Azure AI, AWS Bedrock, OpenAI, Anthropic, etc.)

- Design and deploy RAG pipelines with vector databases and knowledge graphs

- Fine-tune LLMs and implement MLOps pipelines (CI/CD, monitoring, deployment)

- Develop multi-agent systems with orchestration, memory, and error handling

- Deploy solutions on AWS (EC2, Lambda, S3, Bedrock, SageMaker) and Azure AI

- Optimize performance, latency, and cost in production

- Collaborate with Data Science, DevOps, and Product teams

Required Skills :

- Strong Python backend development experience (10+ years)

- Cloud experience : AWS Bedrock is must (minimum 2-3 years)

- Hands-on with LangChain, LangGraph, MCP, AgentOps

- Experience with RAG and vector DBs

- Fine-tuning & prompt engineering for LLMs

- Strong MLOps knowledge (CI/CD, monitoring, deployment)

- Knowledge of Agentic AI (multi-agent orchestration, planning, memory)

- Familiarity with Docker, Kubernetes, Terraform, GitOps