Core skills: Python, LangGraph, large language model integration, APIs, and AI application development.

Role Overview
We are looking for an AI Developer with strong Python skills and hands-on experience building applications using LangGraph. The candidate will work with the engineering and product teams to develop, integrate, test, and maintain AI-powered applications that address business requirements.
This is a hands-on development role focused on building practical, reliable solutions—not only experimenting with prompts or using AI tools.
Key Responsibilities
- Develop AI workflows: Build and maintain stateful, multi-step AI workflows using LangGraph, including graph state, nodes, edges, and conditional routing. Docs by LangChain
- Integrate models and tools: Connect large language models with application APIs, databases, and business tools. Implement tool calling, structured outputs, and appropriate error handling. Docs by LangChain
- Build knowledge-based applications: Develop retrieval-augmented generation (RAG) capabilities where required, including document processing, retrieval, and response generation.
- Improve quality and reliability: Create test cases, evaluate AI responses, troubleshoot failures, and improve application performance, response time, and model usage costs.
- Support engineering delivery: Write maintainable code,



participate in code reviews, document implementations, and collaborate with backend, data, and quality assurance teams.
Required Skills and Experience
- 2–4 years of software development experience, including practical experience developing AI or generative AI applications.
- Mandatory hands-on LangGraph experience, with the ability to explain an implemented workflow, design decisions, and troubleshooting approach.
- Strong Python programming skills, including API integration, exception handling, debugging, and automated testing.
- Working experience integrating large language models into applications, with an understanding of prompt design, context management, and output validation.
- Familiarity with Git, databases, and software development practices, along with explicit communication and problem-solving skills.
Preferred Skills
Exposure to LangChain, RAG, embeddings, and vector databases; experience with FastAPI or a similar backend framework; and familiarity with Docker, cloud deployment, and application monitoring. Experience implementing checkpointing, human approval steps, or multi-agent coordination in LangGraph would be an advantage.

Pay: ₹50,000.00 - ₹90,000.00 per month

Work Location: In person

📌 AI Developer (Pune)
🏢 Innoviti
📍 Pune