Job description
Senior Software Engineer - Lead of agentic engineering (f/m/d)
Company Overview
We’re a specialized bioinformatics consultancy building custom platforms for the Biotech and Pharma sectors. We’ve traded the slow pace of traditional firms for a fast-moving, AI-powered workflow that keeps us focused on shipping high-quality software. By combining the latest computational tools with deep scientific insight, we build the infrastructure that helps our partners move from data to discovery faster.
Job Summary
As a Senior Software Engineer, you’ll partner with scientists to build the infrastructure behind our client engagements. We’re looking for an expert in AI-assisted development to deliver complex, production-grade software with speed and precision.
Key Responsibilities
- Drive software engineering best practices. Make infrastructure decisions, plan architectures, and guide the team through complicated technical problems.
- Lead agentic software engineering efforts: Drive tooling and automation for achieving high-quality software engineering with agentic development over vibe coding. Stay up to date on current developments and develop our own AI processes and best practices.
- Build an agile engineering culture: We're looking for an experienced engineer who wants to help build an excellent interdisciplinary environment for research and engineering. Take responsibility for agile processes like Scrum and help to improve them.
- Active collaboration on projects: Work closely with bioinformatics consultants to translate domain-specific needs into functional technical solutions.
Requirements / Qualifications
- Master degree in computer science, natural sciences, engineering or similar.
- 5+ years of professional experience as software engineer.
- Experience in using and developing agentic AI tools for software engineering.
- Experience in software engineering in data-heavy applications.
- Demonstrated ability to engineer large projects with increasing complexity and patterns.
- Experience in testing, validating, and implementing continuous integration and delivery.
- Strong command of Python for both data processing (e.g., Polars or pandas) and web frameworks (e.g., Django or Flask).
- Solid understanding of JavaScript or TypeScript and frontend frameworks like React.
- Practical experience with AWS or GCP, including containerization (Docker).
- Experience in agile development frameworks like Scrum, ideally in the role of Scrum Master.
- English Native speaker, C2 Level
Preferred Qualifications
- Experience handling and structuring scientific data or integrating AI/ML models into software environments.
- Experience with building algorithms for data processing, utilizing low-level languages like C, C++, or Rust.
Attributes and Skills
- Collaborative Execution: Ability to work effectively with scientific staff, providing technical feasibility feedback on their requirements.
- Problem Solving: Enjoyment of challenging and changing problems that require creative technical solutions.
- Professional Adaptability: Comfortable moving between different technical stacks and project types based on client needs.
- Biotech Alignment: A strong interest in the life sciences and a willingness to learn the basics of the scientific fields our clients operate in.
- Interest in shaping a young and fast-growing team.
Salary & Benefits
- A dynamic team that values trust, autonomy, and fast-paced decision-making to foster innovation.
- A hybrid working model (availability to work on-site three times a week is required).
- A competitive salary and 30 days of paid vacation.
- Two weeks of workation per year.
- Subsidized EGYM Wellpass sports membership.
