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 :
Solid experience in Python .
Hands-on expertise in FastAPI .
Experience with AWS services (Lambda, EC2, ECS/EKS, S3, API Gateway, Bedrock, CloudWatch, IAM).
Solid 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

Perks :
Paid sick time
Provident Fund

Work Location: In person

📌 Senior Ai Backend Engineer Pune
🏢 ZecData Technology
📍 Pune