Senior Data Science & Generative AI Engineer
About the job
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 Science powered 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).
Requirements
- Data Science
- Machine Learning
- Artificial Intelligence
- Large Language Models
- Python
- FastAPI
Preferred Technologies
- Data Science
- Machine Learning
- Artificial Intelligence
- Large Language Models
- Python
- FastAPI
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