Data Science & Generative AI Engineer

Description :

Hiring Senior Data Science & Generative AI Engineer. Experience Range : 10+ years. Locations : Hyderabad, Bangalore, Pune, Kochi.

We are looking for a highly experienced AI/ML professional to design and develop AI-driven applications leveraging Large Language Models (LLMs) and agentic workflows. The role involves building scalable, production-grade systems using modern AI frameworks and backend technologies.

Key Responsibilities :

- Design and develop AI-driven and Data Sciencepowered applications using LLMs and agentic

workflows.

- Build and optimize Retrieval-Augmented Generation (RAG) systems.

- Develop semantic layers and integrate knowledge graphs for structured reasoning.

- Design, build, test, and deploy backend services and REST APIs using Python and FastAPI.

- Implement and orchestrate workflows using LangGraph.

- Integrate AI systems with external services and APIs.

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

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

- Stay updated with emerging AI tools, frameworks, and LLMOps best practices.

Required Skills :

- 10+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.

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

- Proven expertise in LangGraph for workflow orchestration.

- Extensive experience in building RAG pipelines.

- Knowledge of semantic layers and knowledge graphs.

- Strong proficiency in Python and FastAPI.

- Solid understanding of SQL and NoSQL databases with query optimization skills.

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

- Experience with Git workflows, pull request reviews, and CI/CD pipelines.

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

Good to Have :

- Experience with LLMOps, observability, and model lifecycle management.

- Exposure to vector databases and advanced retrieval strategies.

- Cloud deployment experience (AWS / Azure / GCP).