Python Developer

We are looking for a skilled Python Developer with hands-on experience in GenAI, FastAPI, LangChain, and LangGraph to develop scalable and production-ready AI applications.

The candidate will work on LLM-based applications, RAG solutions, conversational AI, and agentic workflows , along with enterprise API and system integrations. The role requires strong backend development skills and the ability to independently deliver high-quality solutions.

Key Responsibilities

• Design and develop scalable REST APIs using FastAPI .
• Develop GenAI and LLM-powered applications using Python.
• Build LLM workflows and integrations using LangChain .
• Design and orchestrate AI agents and state-driven workflows using LangGraph .
• Develop RAG-based applications , including retrieval, embeddings, and prompt orchestration.
• Build conversational AI solutions such as chatbots and virtual assistants .
• Integrate AI applications with enterprise systems, databases, APIs, and knowledge bases.
• Work with Azure cloud services , including Azure OpenAI, App Services, and Functions.
• Optimize applications for performance, scalability, reliability, and maintainability.
• Collaborate with backend, UI, DevOps, and other engineering teams.
• Follow best practices for coding, testing, version control, and production deployment.

Mandatory Skills

• Strong hands-on experience in Python development.
• Hands-on experience with FastAPI and REST API development.
• Strong experience with LangChain for LLM orchestration.
• Hands-on experience with LangGraph for agent orchestration and state-based workflows.
• Experience developing GenAI / LLM-based applications .
• Experience with RAG and prompt engineering .
• Good understanding of REST APIs and microservices architecture.
• Experience integrating APIs and backend services.
• Working knowledge of SQL/NoSQL databases and Git.

Good to Have

• Azure OpenAI and Azure cloud experience.
• Microsoft Agent Framework.
• Microsoft 365 Agents SDK.
• Conversational AI / chatbot development.
• Agentic AI workflows.
• Vector databases and embeddings.
• Docker/containerization.
• CI/CD and DevOps practices.

Education

Bachelor s degree in Computer Science, Information Technology, Engineering , or a related field.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.