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RobCo

Senior Applied AI Engineer (m/f/d)

RemoteEurope
Published
Role
AI / ML
Experience
Senior
Employment
Full-time
Company size
Mid-size
Salary not disclosed
Check eligibility

Open to Anywhere in Europe. Set where you work from to check your eligibility.

No BS summary

Senior AI Engineer needed to build agentic workflows for industrial robotics delivery. Requires strong software engineering, LLM/agentic system production experience, RAG, Python/TypeScript, and collaboration with non-engineering teams. Must own outcomes and work in a startup environment.

Core skills

LLM-powered systemsagentic workflowsRAG pipelines

Required skills

PythonTypeScriptSaaS APIswebhooks

Required languages

English

Optional languages

German

What you'll do

  • Design, build, and run agentic workflows across our delivery process - requirements review, automated checks and gates, early risk detection, and a knowledge base that makes everything we've learned from past projects available to agents and people - owning each from concept through production.
  • Build the way we build: reusable components, skills, and patterns for tool integrations, feedback loops, and identity, secret, and auth management. You know the agentic toolbox inside out and decide what we actually need and what we don't.
  • Own quality end to end: design and run evals, monitor agents in production, and manage observability, cost, guardrails, and security so teams can trust what the agents produce.
  • Design human-in-the-loop workflows that learn: people review and correct agent output at defined checkpoints, and those corrections flow back into better prompts, evals, and components, so the agents keep improving.
  • Embed with our delivery teams to understand how their work actually flows, identify where agents create the most leverage, and define together what good looks like.
  • Drive adoption and help shape how RobCo uses AI internally: deliver agents through the tools teams already use every day, establish best practices, and build paved paths so teams can eventually create their own agents.

What they require

  • Several years of software engineering experience and the seniority to take a problem from ambiguous idea to production system, with clean architecture, solid testing, and maintainable code.
  • Shipped LLM-powered or agentic systems that real users depend on, not just prototypes: tool calling, structured outputs, multi-step workflows. Deep, practical experience with the agentic stack — orchestration, tool use, MCP, memory, and retrieval — in production environments.
  • Strong context engineering and prompt engineering skills: you think carefully about what the model sees and in what structure, you treat prompts as versioned, tested engineering artifacts, and you have a rigorous way of judging whether the output is actually good.
  • Built knowledge bases and put RAG pipelines to work. You don't need to be a retrieval specialist; you need to make organizational knowledge reliably available to agents and people.
  • Thinks in terms of systems and user outcomes, not individual scripts and demos, and brings a component mindset: while building the first agent, you're already thinking about the second and the tenth.
  • Genuine enjoyment of working with non-engineering teams: understanding their process, speaking their language, and designing automation around how they actually work.
  • Strong proficiency in Python and/or TypeScript, plus fluency with SaaS APIs, webhooks, and the practical realities of integrating business systems.
  • Ownership of outcomes and a startup way of working: scope intentionally, build smart, ship fast, and prefer pragmatic solutions that ship over perfect ones that don't.
  • Fluent English (German is a plus).

Benefits

  • Develop modular, software-defined robotics solutions with us that set new standards in automation.
  • Help us build robots equipped with state-of-the-art AI that perceive their environment, analyze data, and make intelligent decisions in real time.
  • As part of a very dynamic and fast-growing scale-up, you will take on responsibility from day one, drive your own projects, and see the direct impact of your work.
  • Flat hierarchies, open communication, and regular 360° feedback enable fast decisions and support your professional and personal development.
  • Wellpass membership (7,200+ studios across Germany), regular team events, and a team that takes both the work and the culture seriously.
  • Flexible working hours, a modern office in Munich whenever you with to visit, and the flexibility to work from home.
  • Regular team events - from relaxed beer & pizza nights on the rooftop terrace to shared experiences on ski trips or at Oktoberfest.

RobCo | Robotics

🇺🇸 United StatesRoboticsMid-size
Salary not disclosed