Data Science & Generative AI Engineer
VMC SOFT TECHNOLOGIES PRIVATE LIMITEDRole Overview
VMC SOFT TECHNOLOGIES PRIVATE LIMITED is hiring a staff-level Data Science & Generative AI Engineer. This is a full-time role in Hyderabad. Part of VMC SOFT TECHNOLOGIES PRIVATE LIMITED's Lifecycle hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
As a Senior Data Science & Generative AI Engineer, you will be responsible for designing and developing AI-driven applications leveraging Large Language Models (LLMs) and agentic workflows. Your role will involve 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). As a Senior Data Science & Generative AI Engineer, you will be responsible for designing and developing AI-driven applications leveraging Large Language Models (LLMs) and agentic workflows. Your role will involve 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).
Frequently Asked Questions
How do I apply for the Data Science & Generative AI Engineer position at VMC SOFT TECHNOLOGIES PRIVATE LIMITED?
Use the Apply button above to submit your application directly to VMC SOFT TECHNOLOGIES PRIVATE LIMITED. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Science & Generative AI Engineer position at VMC SOFT TECHNOLOGIES PRIVATE LIMITED located?
This position is based in Hyderabad. VMC SOFT TECHNOLOGIES PRIVATE LIMITED has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Science & Generative AI Engineer at VMC SOFT TECHNOLOGIES PRIVATE LIMITED earn?
VMC SOFT TECHNOLOGIES PRIVATE LIMITED has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Science & Generative AI Engineer role at VMC SOFT TECHNOLOGIES PRIVATE LIMITED posted?
This role was posted on May 3, 2026 (37 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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