Job Title: Agentic AI Developer (Python & LangGraph)
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.
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/GCP)
Experience: 10 12 Years
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/GCP)
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.
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.
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