Full-Stack AI Engineer / Data Scientist – Agentic Systems
Roche (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 28–45 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy advanced AI agentic systems and multimodal generative AI applications end-to-end, including exploratory data analysis through to production monitoring.
- Own full-stack development cycles accelerated by AI coding agents, ensuring high-quality, production-ready Python code with robust DevOps/MLOps practices on AWS/multicloud.
- Lead algorithm development, optimization, evaluation, and continuous improvement including A/B testing, observability, and ethical AI deployment.
Minimum Requirements
- 7+ years of experience in AI/ML engineering and Data Science with at least 3 years hands-on with generative LLMs and agentic systems.
- Expert-level Python programming and cloud solutions design on AWS with exposure to GenAI-specific services (e.g., SageMaker, Bedrock).
- Familiarity with agentic system design frameworks (LangChain, LangGraph), RAG pipelines, and MLOps lifecycle including Docker, CI/CD, and infrastructure as code.
- Located in Hyderabad, India, able to work overlapping hours with Central European Time; Bachelor’s or higher in CS, Physics, Math or related field.
Ideal Candidate Profile
- Broadly skilled Full-Stack AI engineer combining data science, ML engineering, and MLOps capabilities to deliver end-to-end AI systems rather than narrow specialization.
- Experienced in cutting-edge agentic AI workflows, capable of owning architectural decisions and acting as a technical lead when necessary.
- Effective communicator able to translate complex AI system outputs for stakeholders and guide ethical, bias-aware AI deployment.