Gen AI Developer

Techknomatic Services Private Limited; Pune District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Techknomatic Services Private Limited is seeking a Gen AI Developer with strong Python skills and hands-on experience with LangGraph, LLMs, and RAG-based AI solutions. You will build stateful AI workflows, integrate APIs, and optimize performance while collaborating with cross-functional teams to deliver production-ready AI applications.

Practical LangGraph development experience is mandatory, and the role requires 2-6 years of relevant experience in AI-powered software solutions.

Qualifications

• 2-6 years of hands-on software experience in Generative AI.

Responsibilities

• Design, implement, and maintain multi-step AI workflows using LangGraph and LLMs.

Skills

Python programming

LangGraph

LLMs

Prompt engineering

Debugging

APIs integration

Code reviews

Testing

Tools

LangGraph

REST APIs

Git

Databases

Docker

FastAPI

Job description

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.