Experience : 10+ Years.

Location : PAN India.

Domain : Digital - Data Science / Machine Learning / Artificial Intelligence / Python for Data Science.

Role & Responsibilities :

- Design and develop AI-driven applications leveraging LLMs and agentic workflows.

- Develop RAG systems, semantic layers, and knowledge graph integrations.

- Build, test, and deploy backend services and APIs using Python and FastAPI.

- Implement workflows using LangGraph and integrate with external services / APIs.

- Ensure code quality, scalability, performance, and reliability in production systems.

- Participate in code reviews, maintain coding standards, and follow best practices.

- Stay up-to-date with emerging AI tools, frameworks, and LLMOps best practices.

Required Skills & Experience :

- Strong experience working with Large Language Models (LLMs) and agentic workflows.

- Hands-on experience with LangGraph for workflow orchestration.

- Expertise in building Retrieval-Augmented Generation (RAG) pipelines.

- Knowledge of semantic layers and knowledge graphs for structured reasoning.

- Proficiency in Python and FastAPI for backend and API development.

- Solid understanding of SQL / NoSQL databases and query optimization.

- Ability to write production-grade, scalable, and maintainable code.

- Familiarity with Git workflows, PR reviews, and CI/CD pipelines.

- Strong foundation in API design, system architecture, and software design patterns.