onsite
AI Engineer - Agentic AI - LBBW
AI Engineer
Lead the design and deployment of agentic AI solutions, leveraging Python, ML, RL, and NLP on AWS infrastructure to create autonomous systems that adapt and learn in real‑time.
About the role
Key Responsibilities
- Architect and implement agentic AI models using Python, reinforcement learning, and NLP techniques.
- Integrate models into scalable cloud services on AWS, ensuring high availability and performance.
- Collaborate with cross‑functional teams to define use cases, gather requirements, and translate business goals into technical specifications.
- Develop and maintain CI/CD pipelines with Docker and Kubernetes for rapid deployment and continuous improvement.
- Monitor model performance, conduct A/B testing, and iterate on algorithms to enhance autonomy and decision quality.
Requirements
- Strong background in Python and experience with ML frameworks (PyTorch, TensorFlow).
- Hands‑on experience with reinforcement learning and natural language processing.
- Proficiency in AWS services (SageMaker, Lambda, ECS) and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
- Fluent in German and English, with strong communication skills.
Skills
pythonmachine learningreinforcement learningnatural language processingawsdocker