Senior Full Stack Engineer, Agentic Workflows (m/f/d)

About the Role at the company

The company is building the category of Autonomous Industrial Robotics and we're doing it fast. We believe that automating the ordinary frees humans to do the extraordinary, and we're building the end-to-end robotics infrastructure to make that possible - hardware, software, and AI in one stack that just works.

As our Senior Full Stack Engineer, Agentic Workflows (m/f/d), you'll build the agentic workflows that run our solution delivery behind the scenes. Every customer project produces requirements, designs, plans, and checks on the way from a customer's problem to a robot running on their factory floor. Your agents will work at each of these steps: reviewing requirements before they become commitments, checking and improving artifacts as the project moves, and catching risks while there's still time to act on them. You'll build the first agentic workflows, the reusable components and governance they run on, and much of how the company uses AI internally.

Your Responsibilities

• 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 the company 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.

We're looking for someone who has

• 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).

Why join the company?

• 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.

About the company

Founded in Munich in 2020, the company leads the transition toward fully Autonomous Industrial Robotics. Our mission is to deploy the company in every factory - solving the industrial labor shortage through end-to-end robotics that just works. Powered by Physical AI, our solutions combine a scalable modular hardware architecture with intelligent software that continuously learns and improves, requiring zero upfront investment through our Robotics-as-a-Service (RaaS) model.

We solve our customers' most pressing pain points - labor shortage, cost pressure, workplace safety, and national reshoring - across the full spectrum of Autonomous Industrial Robotics. In October 2026, the company reached unicorn status with a valuation exceeding one billion US dollars, with its valuation doubling in less than nine months. With $200M raised from investors including Sequoia, Lightspeed, Lingotto, Kindred, Cherry Ventures, and the European Tech Collective, 225+ people globally, and 3.5M+ operating hours in the field, we are deploying robots in factories across Europe and the United States - with our US operations headquartered in Austin, TX, and our Bay Area Lab in San Francisco.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

At the company, applicants are selected regardless of ethnic origin, religion, gender, age, disability, or sexual orientation. All decisions throughout the recruitment process are based solely on applicants’ qualifications, skills, knowledge, and experience, as well as relevant business requirements.