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.

- 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.

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

Requirements :

- Strong programming skills (Python required)

- Hands-on experience with ML/DL frameworks and libraries

- Experience working with API-based LLMs and modern GenAI patterns (e.g. RAG, multi-agents)