Agentic AI Research Engineer (f/m/x)
Tech Stack
Agent Workflow
Design and implement modular, protocol-driven AI workflows for biomedical research; prototype, benchmark, and iterate on agentic systems focused on robustness, transparency, and reproducibility; LLM-based tool use and workflow orchestration.
About the Role
Agentic AI Research Engineer (f/m/x)
Helmholtz Zentrum Munchen (Helmholtz Munich)
Neuherberg near Munich, Germany
Partial home office available
Salary: Up to E 13 grade (TVoeD collective agreement)
Fixed-term: 2 years, extensible
39 hours/week
About the Organization
Helmholtz Munich develops health solutions through AI, data science, and biomedicine. The Accessible Biomedical AI Research Group creates practical, transparent, and robust AI systems for scientists. The role sits in the Computational Health Center (CHC), Institute of Computational Biology.
Core Responsibilities
- Design and implement modular, protocol-driven AI workflows for real-world research scenarios
- Develop and maintain production-quality Python software to enable AI-assisted research processes across computational biology
- Prototype, benchmark, and iteratively improve agentic systems with a strong focus on robustness, transparency, and reproducibility
- Conduct researcher interviews to identify workflow pain points and automation opportunities
- Collaborate on open, reusable infrastructure development
- Contribute to publications and open-source initiatives in areas such as agentic AI, human-AI interaction, and reproducible computational science
Required Qualifications
- PhD in Computer Science, AI, HCI, Computational Biology, Software Engineering, or a related field (or MSc with substantial professional experience)
- Strong Python software engineering skills including testing and packaging
- Experience building or working with agentic systems, LLM-based tool use, or workflow orchestration frameworks
- Ability to design modular workflows and APIs
- Strong interdisciplinary communication skills
Desirable Qualifications
- User research methods experience
- Familiarity with computational biology workflows, FAIR principles, or knowledge systems
- Interest in human-AI collaboration design
- Open-source contribution experience
Benefits
- Postdoc program and career development support
- State-of-the-art computational infrastructure
- 30 days annual leave plus flexible days
- International relocation assistance
- Health promotion programs (sports, company doctor, mental health)
Application Requirements
Submit via online portal with: CV, cover letter, degrees/diplomas, and two referee contacts. Foreign degree holders must request Statement of Comparability documentation early.
Contact: Sebastian Lobentanzer (sebastian.lobentanzer@helmholtz-munich.de)
Valid through: June 1, 2026
