Senior AI Software Engineer
Kertos
Seniority
Senior
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
As an AI Software Engineer at Kertos, you'll play a key role in shaping how AI is embedded into our platform and product experience. You'll build AI-powered product features that help companies generate documentation, automate workflows, and interact intelligently with compliance systems.
What you'll do
- Build AI-powered compliance experiences: Develop features that generate policies, automate documentation, and assist users through intelligent workflows.
- Work on applied AI, not research: Integrate and orchestrate LLMs into real product use cases that deliver immediate value to customers.
- Make automation feel intelligent and reliable: Improve how our AI assistant and generative systems behave, ensuring accuracy, usability, and trust.
- Own the process: Drive features from concept to delivery, shaping both technical implementation and product outcomes.
- Continuously improve what you build: Iterate on existing systems, refine outputs, and enhance performance over time.
- Shape engineering excellence: Contribute to improving developer experience, system quality, and delivery speed.
What you'll need
- Proven track record as a Software Engineer (backend or fullstack)
- Strong experience with Python
- Experience building production-grade systems and APIs
- Interest in AI and applied LLM use cases (hands-on experience is a plus)
- Strong problem-solving skills, ownership mindset, and a passion for building impactful products
- Comfortable working in environments with evolving requirements and imperfect information
- Proactive mindset: you don't just deliver tasks, you improve systems
What they offer
- Full flexibility to work from Berlin office, Munich HQ, or home office
- Personal Development Budget of 1,500 EUR per year
- Mental health support partnership with nilo
- Wellpass membership subsidy for physical fitness
- Strong onboarding with dedicated buddy and compliance expertise training
- Regular 1-on-1 feedback meetings and mentorship with CTO

