Python Developer GenAI & Agentic AI

Experience: 2 5 Years
Joining: Immediate to 30 Days Preferred Role Overview

We are looking for a passionate Python Developer GenAI Agentic AI to join our Product Engineering team. The ideal candidate should have strong Python development skills along with hands-on experience in building Generative AI and Agentic AI applications using modern LLM frameworks and AI orchestration technologies.
This role offers an opportunity to work on cutting-edge AI products and enterprise-scale automation platforms.

Key Responsibilities:

• Design, develop, and maintain scalable applications and REST APIs using Python and FastAPI.

• Build enterprise-grade Generative AI applications using LLMs such as OpenAI GPT, Claude, Gemini, Llama, or similar models.

• Design and implement Retrieval Augmented Generation (RAG) pipelines using embeddings and vector databases.

• Develop Agentic AI workflows capable of autonomous reasoning, planning, and tool execution.

• Optimize prompts, agent orchestration, memory management, and inference performance.

• Integrate AI solutions with enterprise applications, APIs, databases, and business workflows.

• Deploy, monitor, and optimize AI applications on AWS, Azure, or GCP environments.

• Collaborate with Product, Engineering, and Solution teams to deliver AI-powered business solutions.

• Stay updated with emerging AI frameworks, models, and industry best practices.

Required Technical Skills

• 2+ years of hands-on experience in Python development.

• Experience with FastAPI, Flask, or similar Python frameworks.

• Hands-on experience with Generative AI and Large Language Models (LLMs).

• Strong understanding of RAG architecture, embeddings, and vector databases (FAISS, Pinecone, ChromaDB, Milvus, etc.).

• Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.

• Knowledge of Prompt Engineering and AI agent development.

• Experience working with REST APIs, JSON, and microservices architecture.

• Familiarity with Git, Docker, and CI/CD pipelines.

Good to Have

• Experience with Agentic AI frameworks and autonomous AI systems.

• Exposure to MCP (Model Context Protocol), AI tool calling, and function calling.

• Experience with Kubernetes and containerized deployments.

• Knowledge of SQL/NoSQL databases and cloud-native architectures.

• Exposure to AI observability, evaluation frameworks, and model monitoring.

Required Soft Skills

• Strong analytical and problem-solving abilities.

• Excellent communication and collaboration skills.

• Ability to work independently in a fast-paced product environment.

• Strong learning mindset and passion for emerging AI technologies.

Educational Qualification

BE/B.Tech/M.Tech/MCA in Computer Science, Information Technology, Artificial Intelligence, or related disciplines.

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