onsite
AI Engineer - Agentic AI - Deichmann
AI Engineer
Lead the design and deployment of agentic AI solutions, leveraging advanced machine learning, NLP, and reinforcement learning techniques to create autonomous agents that adapt and learn in real‑time environments.
About the role
Key Responsibilities
- Design, develop, and deploy agentic AI models using Python, PyTorch, and OpenAI APIs.
- Implement reinforcement learning pipelines to enable autonomous decision‑making in dynamic contexts.
- Integrate NLP components for natural language understanding and generation within agents.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Conduct rigorous testing, performance tuning, and continuous improvement of AI models.
Requirements
- Strong experience in Python and deep learning frameworks (PyTorch/TensorFlow).
- Proven background in machine learning, NLP, and reinforcement learning.
- Hands‑on expertise with OpenAI or similar large‑language‑model APIs.
- Excellent problem‑solving skills and ability to work in an agile environment.
- Fluent in English; German is a plus.
Skills
pythonmachine learningnlpreinforcement learningdeep learningpytorch