Role & responsibilities

Job Summary

We are seeking a skilled Python Developer with robust experience in LangChain and/or LangGraph to design and build intelligent, LLM-powered applications. The role involves developing scalable AI workflows, agent-based systems, and backend services that integrate Large Language Models with enterprise systems.

Key Responsibilities
Design and develop LLM-driven applications using Python
Build AI workflows, chains, and agent-based architectures using LangChain and LangGraph
Implement multi-step reasoning, stateful workflows, and tool-based agents
Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) into backend systems
Develop APIs and backend services to expose LLM functionality
Implement prompt engineering, memory management, and context handling
Optimize model performance, latency, and cost
Integrate vector databases and retrieval mechanisms for RAG solutions




Ensure security, data privacy, and responsible AI practices
Debug, monitor, and enhance AI pipelines in production
Collaborate with data scientists, product managers, and frontend teams

Required Skills & Qualifications
Strong proficiency in Python
Hands-on experience with LangChain and/or LangGraph
Experience building LLM applications, agents, or RAG pipelines
Understanding of prompt engineering, embeddings, and vector search
Experience with LLM providers (OpenAI, Azure OpenAI, Anthropic, etc.)
Knowledge of REST API development
Familiarity with AI workflow orchestration and state management
Robust debugging and problem-solving skills
Experience using Git and team-oriented development practices

📌 Backend Python Developer Pune
🏢 Cloudxtreme
📍 Pune