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Forward Deployed Engineer – AI Agents & Enterprise Software
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Job Description
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. What 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. What 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.
What 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
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