As a Senior AI Engineer, you will design, build, and operate production-grade AI systems end to end. This role sits
at the intersection of machine learning, software engineering, and enterprise delivery.
You will work on a mix of:
- LLM-based solutions (API-based models, RAG, agents)
- Classical ML / DL systems (forecasting, anomaly detection, computer vision)
Senior AI Engineers are expected to work independently with minimal guidance, own solutions end to end, and
contribute to setting technical standards across the AI portfolio.
Key Responsibilities
- Design and implement end-to-end AI solutions from problem framing to production
- Build and operate LLM-powered systems (prompting, RAG, agents, evaluation, guardrails)
- Develop, train, and deploy ML/DL models where appropriate
- Translate business problems into robust, measurable AI use cases
- Collaborate with data engineers, software engineers, and domain experts
- Ensure AI solutions are reliable, scalable, secure, and maintainable
- Contribute to AI architecture, best practices, and reusable components
- Support monitoring, evaluation, and continuous improvement of AI systems