Forward Deployed Engineer, AI Agents & Enterprise Software

You love building something people can actually use: the moment an integration works, an agent takes a tedious task off someone’s hands, or an idea becomes a useful tool. At XALT, you work closely with the people you build for, taking their solution from the first conversation into production.

Your customers will be enterprises and public-sector organisations. Your focus will be AI agents with XALT Northstar or development platforms in the Atlassian ecosystem. We will work out together which area fits your experience and interests; working across both is possible. What you learn in customer projects will feed back into our own products.

01What we are working towards

We want to help companies use AI to improve the work people rely on every day. We combine consulting, software development and our own products to make that happen. What excites us is seeing a technical idea become something people can count on.

02What you will do

• Turn business problems into practical technical solutions together with the customer.
• Write production code and integrate agents into existing systems and workflows.
• With a Northstar focus, build and operate personal and operational agents using MCP servers, Agent Skills, evals, guardrails and observability.
• With an Atlassian focus, develop platforms and workflows using Forge, Rovo and CI/CD so development teams can use agents reliably.
• Take solutions into production, evaluate their quality and improve them based on actual use.
• Bring insights from customer projects into our products.

03What you bring

• Experience writing and reviewing production code, for example in TypeScript or Python, across both backend and frontend
• Experience with cloud infrastructure, containers and CI/CD, for example AWS, Kubernetes, Terraform or GitLab
• Practical experience with LLMs and agentic systems, including evals that detect errors and regressions
• At least one agent or AI workflow you have built yourself and put into production, which you can demonstrate live during the application process (see “Your AI example”)
• Enjoyment of working directly with customers and the ability to make reasoned technical decisions with incomplete information
• Business-fluent German and English

04What we offer

• Unlimited tokens for Claude, OpenAI and the latest, most advanced AI tools
• €70,000-100,000 gross per year, depending on experience; we are open to going beyond this range for exceptional senior candidates with a proven record of running agents in production
• The opportunity to follow your solutions from the first conversation into customers’ daily work and see the difference they make
• Professional exchange within the team, across the Atlassian ecosystem as a Platinum Partner, and through the XALT AI Circle and IT Revolution

### Your working arrangements

We value working together in the office: developing ideas, learning from one another and talking things through in person. Living in or around Munich or Leipzig is therefore a plus. Remote work is also possible. If you live further away, we would still love to hear from you. Together, we will discuss an arrangement that works for you, your team and the role.

• Full-time
• Work within an international company with teams in Munich, Leipzig, Manila and New York

### Our professional community

Exchanging ideas with others is part of what we enjoy about this work. For our XALT AI Circle in Munich in autumn 2026, we have invited Peter Steinberger of the OpenClaw Foundation to discuss personal agents. In October 2026, Philipp Göllner spoke at the Enterprise AI Summit in Charlotte about how our team built a Chief of Staff agent. We plan to represent XALT again at the summit in Portland in May 2027. For a closer look at our work, see Philipp’s talk from Charlotte.

05Your AI example

We would like to understand how you approach problems and what you have learned along the way. Bring a process you have automated yourself with AI and show it to us live. Walk us through your contribution, whether the workflow works consistently, and what has measurably improved. We are also interested in its limitations and how you check the results. One example is enough; you can recreate it with test data. Please do not share confidential information or protected code.

06Your application

Does this sound like work you would enjoy? We would love to hear from you. Send your CV to ----- and tell us what you would like to work on. The conversation should also give you room to ask about the team, your responsibilities and what you need to do good work. We will discuss the interview arrangements and your AI demonstration with you personally. You can also send any questions beforehand to -----

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