Python GEN AI

Coforge; Hyderabad, Pune District, Delhi; Hybrid; INR 1,800,000 - 3,600,000; Full time

Job summary

Coforge is seeking a Python GenAI / Agentic AI Engineer with 4-10 years of experience for a PAN India / Hybrid role. Immediate notice period. This position focuses on building AI-powered applications, agentic AI systems, and RAG-based solutions using modern frameworks and cloud platforms.

The role involves designing, deploying, and optimizing AI solutions, integrating various LLMs, and delivering robust APIs and microservices. A strong background in Python and Generative AI is essential.

Qualifications

• Strong hands-on experience in Python development.
• Experience with Generative AI, LLMs, prompt engineering, and AI agents.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Knowledge of RAG, vector databases, embeddings, and AI orchestration.
• Experience with REST APIs, FastAPI, Git, and cloud platforms (Azure/AWS/GCP).

Responsibilities

• Design, develop, and deploy AI-powered applications using Python and Generative AI technologies.
• Build and orchestrate Agentic AI and Multi-Agent Systems using LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Develop RAG solutions using vector databases like FAISS, ChromaDB, Pinecone, etc.
• Integrate LLMs such as OpenAI GPT, Azure OpenAI, Llama, Claude, and other foundation models.
• Build APIs and microservices using FastAPI or similar frameworks.
• Optimize prompts, agent workflows, and model performance.
• Collaborate with business and engineering teams to deliver AI-driven solutions.

Skills

Python Development

Generative AI

LLMs

Prompt Engineering

AI Agents

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Job description

Job Description Python GenAI / Agentic AI Engineer

Position: Python GenAI / Agentic AI Engineer
Experience: 4-10 Years
Location: PAN India / Hybrid
Notice Period: Immediate

Key Responsibilities:

• Design, develop, and deploy AI-powered applications using Python and Generative AI technologies.
• Build and orchestrate Agentic AI and Multi-Agent Systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Develop RAG (Retrieval-Augmented Generation) solutions using vector databases like FAISS, ChromaDB, Pinecone, etc.
• Integrate LLMs such as OpenAI GPT, Azure OpenAI, Llama, Claude, and other foundation models.
• Build APIs and microservices using FastAPI or similar frameworks.
• Optimize prompts, agent workflows, and model performance.
• Collaborate with business and engineering teams to deliver AI-driven solutions.

Required Skills:

• Strong hands-on experience in Python Development.
• Experience with Generative AI, LLMs, Prompt Engineering, and AI Agents.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Knowledge of RAG, Vector Databases, Embeddings, Fine-Tuning, and AI orchestration.
• Experience with REST APIs, FastAPI, Git, and Cloud platforms (Azure/AWS/GCP).

NP