Key Responsibilities
- Develop Agentic AI workflows using frameworks such as LangGraph, CrewAI, AutoGen, or LangChain Agents.
- Design and implement RAG (Retrieval-Augmented Generation) pipelines with vector databases.
- Optimize prompt engineering, model performance, latency, and cost.
- Implement authentication, monitoring, logging, and security best practices.
- Collaborate with cross-functional teams to deliver production-ready AI solutions.

Required Skills:
- Robust experience in Python.
- Hands-on expertise in FastAPI.
- Experience with AWS services (Lambda, EC2, ECS/EKS, S3, API Gateway, Bedrock, CloudWatch, IAM).
- Strong understanding of LLMs (OpenAI, Claude, Gemini, Llama).
- Knowledge of RAG, embeddings, prompt engineering,



and vector databases (FAISS, Pinecone, Chroma, Weaviate).
- Experience with REST APIs, Git, Docker, and CI/CD pipelines.
- Familiarity with SQL/NoSQL databases.

Preferred Skills
- Knowledge of Kubernetes and container orchestration.
- Experience with AI observability and evaluation tools.
- Exposure to MLOps and model deployment.
- Experience with Azure OpenAI or Google Vertex AI is a plus.

Pay: ₹50,000.00 - ₹100,000.00 per month

Benefits:
- Paid sick time
- Provident Fund

Work Location: In person

📌 Senior Ai Backend Engineer (Pune)
🏢 ZecData Technology
📍 Pune