Forward Deployed Engineer

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