Agentic AI Developer (Python & LangGraph) ( F2F interview Must)
Why This Role Stands Out
This hybrid role offers a fantastic opportunity to pioneer cutting-edge AI agent development using Python and LangGraph, shaping the future of intelligent systems. You'll thrive here if you're a seasoned developer eager to build sophisticated multi-agent workflows and RAG applications, contributing to innovative projects within a dynamic tech environment. Embrace the chance to elevate your skills and make a significant impact by applying today!
Quick Overview
Job Description
Job Title: Agentic AI Developer (Python & LangGraph)
San Jose, CA F2F Must
Contract
Job Description:
We are looking for an experienced Agentic AI Developer with strong expertise in Python, LangGraph, and Generative AI technologies. The candidate will be responsible for designing, developing, and deploying AI agents, multi-agent workflows, and RAG-based applications using LLMs. Experience with LangChain, vector databases, API integrations, prompt engineering, and cloud deployment is required.
Key Skills:
- * Python
- * LangGraph
- * LangChain
- * Agentic AI / Multi-Agent Systems
- * LLMs and Prompt Engineering
- * RAG (Retrieval-Augmented Generation)
- * Vector Databases (FAISS, Chroma, Pinecone)
- * FastAPI / REST APIs
- * Docker & Cloud Platforms (AWS/Azure/Google Cloud Platform)
Experience: 10 12 Years
Responsibilities:
- * Build and manage AI agent workflows using LangGraph.
- * Develop GenAI applications using Python and LLMs.
- * Implement RAG pipelines and tool integrations.
- * Optimize agent performance, reliability, and scalability.
- * Collaborate with cross-functional teams to deliver AI solutions.
Skills
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