We are looking for a Forward Deployed Engineer on a contractor basis to support a project that builds a blueprint for AI-assisted and agentic engineering — a reusable way for teams to bring AI and autonomous agents into how they actually work.
It is deliberately broad: not just software, but any kind of development and engineering need a team might have, from hardware and systems engineering to requirements, testing, documentation, and program management. The blueprint gives a team a shared, version-controlled foundation that both humans and agents can rely on and connects to the tools they already use.
A framework only creates value when real teams adopt it well, and that is where this role comes in. As a Forward Deployed Engineer, you will embed with teams, help them stand up and tailor the approach for their context, coach them through their first real AI-assisted work, and feed what you learn back so the blueprint keeps getting better for everyone. You are the bridge between a powerful framework and the reality of how teams work day to day.
Your tasks
- Onboarding engineering steam end to end understand how they work today, connect the approach to their existing tools and processes, and get them to a point where AI-assisted work is genuinely useful and safe
- Coach teams to introduce agents responsibly from simple suggestions toward more autonomous work while keeping humans accountable for decisions
- Prove value early by taking a small, real task all the way through the workflow, so teams feel the benefit instead of just hearing about it
- Translate AI and agentic concepts into plain language and adapt to each teams domain and risk tolerance
- Turn recurring field problems into reusable improvements and bring gaps, patterns, and new requirements back to the core team.
What we expect
- Strong engineering fundamentals: comfortable reading and writing code, working with version control, CI/CD, and the command line
- Advanced Python Skills
- Hands-on experience with LLMs and agentic tools (coding assistants, agent frameworks, prompt/context design, tool integrations)
- Genuinely customer-facing: you can run a workshop, lead interviews, defuse scepticism, and build trust with engineers and managers alike
- Written Engineering: you naturally document decisions and explain complex ideas simply
- Systems mindset: you can map how a team´s tools, data, and processes fit together and spot where AI adds real leverage versus risk
- Fluent English is required
- Comfort with frequent travelling to partners
Nice to have
- Experience integrating with common engineering tools (e.g. Jira, Polarion, Confluence, GitLab, GitHub, SonarQube, Engineering Tools such as MagicDraw, Comos, …) via APIs, webhooks, or MCP.
- Background in regulated, safety-relevant, or hardware/systems engineering environments.
- Prior work in developer experience, solutions/forward-deployed engineering, technical consulting, or platform enablement
- Familiarity with requirements engineering, test management, or quality/compliance practices
- German language skills