onsite
Senior Agentic AI Engineer - BMW AG
AI Engineer
Lead the design and deployment of agentic AI systems, leveraging Python, deep learning, and reinforcement learning to create autonomous agents that interact with complex environments and scale on AWS.
About the role
Key Responsibilities
- Architect and implement end‑to‑end agentic AI solutions using Python, deep learning frameworks, and reinforcement learning techniques.
- Integrate OpenAI APIs and custom models to enable autonomous decision‑making in dynamic environments.
- Collaborate with cross‑functional teams to define problem statements, data pipelines, and evaluation metrics.
- Deploy scalable AI services on AWS, ensuring high availability, security, and performance.
- Conduct rigorous testing, debugging, and performance tuning of agentic models.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- 5+ years of experience in AI/ML engineering with a focus on agentic or autonomous systems.
- Proficiency in Python, deep learning libraries (PyTorch/TensorFlow), and reinforcement learning frameworks.
- Hands‑on experience with OpenAI APIs and large language models.
- Strong background in cloud deployment, preferably AWS (EC2, SageMaker, Lambda).
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
Skills
pythonmachine learningdeep learningreinforcement learningaws