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Key Responsibilities
Develop and maintain AI-powered applications using Python (3.x). Design and implement Retrieval-Augmented Generation (RAG) architectures. Build multi-agent workflows using Lang Graph and agentic frameworks. Integrate LLMs with vector databases such as Chroma, FAISS, or Pinecone. Build and consume REST APIs to integrate AI services with enterprise platforms. Deploy and manage AI workloads using AWS services such as Lambda, S3, Dynamo DB, and Cloud Watch. Apply prompt engineering techniques to optimize LLM responses. Develop scalable systems using asynchronous programming in Python. Deploy containerized applications using Kubernetes.



Monitor and optimize system performance and reliability. Required Skills & Experience
Strong experience with Python (3.x). Hands-on experience with Lang Graph. Solid understanding of LLMs and prompt engineering. Knowledge of RAG (Retrieval-Augmented Generation) architectures. Experience with AWS services such as Lambda, S3, Dynamo DB, and Cloud Watch. Experience building and consuming REST APIs. Robust understanding of asynchronous programming in Python. Familiarity with vector databases (Chroma, FAISS, Pinecone). Working knowledge of Kubernetes. Nice to Have
Experience with Lang Chain. Exposure to agent core / agentic frameworks.

📌 Sr. python developer (Bengaluru)
🏢 Anonymous
📍 Bengaluru