onsite
AI Engineer - Agentic AI System Engineering / Admin - Deichmann
AI Engineer
Develop and maintain agentic AI solutions, integrating advanced machine‑learning models with robust system engineering and cloud infrastructure using Python and Linux environments.
About the role
Key Responsibilities
- Design, implement, and optimize agentic AI architectures that enable autonomous decision‑making and interaction.
- Develop and fine‑tune machine‑learning models in Python, ensuring high performance and scalability.
- Maintain and automate Linux‑based infrastructure, including containerization and orchestration tools.
- Integrate AI services with cloud platforms, managing deployment pipelines and monitoring resources.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and deliver production‑ready AI solutions.
Requirements
- Strong proficiency in Python and experience with machine‑learning frameworks (e.g., TensorFlow, PyTorch).
- Hands‑on experience with agentic or autonomous AI systems and reinforcement learning concepts.
- Solid background in system engineering, Linux administration, and automation (e.g., Ansible, Docker, Kubernetes).
- Familiarity with cloud environments (AWS, Azure, or GCP) and CI/CD pipelines.
- Problem‑solving mindset with the ability to work independently and in interdisciplinary teams.
Skills
pythonmachine learning