Gen AI Developer

Hiring: Gen AI Developer | Python | LangGraph | LLM | RAG

Job Title: Generative AI Developer
Experience: 2-6 Years
Relevant Experience: Hands-on experience in Python, Generative AI, and LangGraph
Employment Type: Full-Time
Department: Engineering / Artificial Intelligence

Job Summary

We are looking for a skilled Gen AI Developer with strong Python programming skills and hands-on experience in building AI-powered applications using LangGraph and Large Language Models (LLMs).

The candidate will be responsible for developing stateful AI workflows, integrating LLMs with APIs and databases, implementing RAG-based solutions, and building reliable, scalable AI applications to solve real-world business problems.

Note: Practical hands-on LangGraph development experience is mandatory.

Key Responsibilities

• Design, develop, and maintain stateful, multi-step AI workflows using LangGraph.
• Implement graph states, nodes, edges, conditional routing, and workflow orchestration.
• Integrate LLMs with REST APIs, databases, external tools, and business applications.
• Implement tool calling, structured outputs, prompt engineering, context management, and output validation.
• Develop Retrieval-Augmented Generation (RAG) applications, including document processing, embeddings, vector search, and response generation.
• Write clean, maintainable, and testable Python code with appropriate exception handling and debugging.
• Test and evaluate AI applications to improve accuracy, reliability, performance, and response time.
• Optimize LLM usage, token consumption, and application costs.
• Collaborate with engineering, product, backend, data, and QA teams.
• Participate in code reviews, technical documentation, troubleshooting, and deployment activities.

Mandatory Skills

• Strong programming skills in Python.
• Hands-on experience building applications using LangGraph.
• Practical experience integrating Large Language Models (LLMs) into applications.
• Experience with REST APIs, API integration, and tool calling.
• Understanding of prompt engineering, structured outputs, and context handling.
• Knowledge of debugging, exception handling, and automated testing.
• Familiarity with Git, databases, and software development best practices.

Good to Have

• Experience with LangChain and Retrieval-Augmented Generation (RAG).
• Knowledge of embeddings, vector databases, and semantic search.
• Experience with FastAPI or similar backend frameworks.
• Familiarity with Docker, cloud deployment, and application monitoring.
• Experience with LangGraph checkpointing, human-in-the-loop workflows, and multi-agent systems.

Candidate Profile

• 26 years of overall software development experience, with relevant hands-on experience in Generative AI application development.
• Ability to explain a real-world LangGraph implementation, workflow design, conditional routing, and troubleshooting.
• Strong analytical, problem-solving, and communication skills.
• Ability to build practical, production-oriented AI solutions rather than relying only on prompt experimentation or AI tools.