AI Agent Platform Engineer

Location: Munich, Germany; on-site

Company

hirify.global is a Europe-based fusion company developing stellarator machines and the hardware and infrastructure for a commercial fusion power plant.

What you will do

• Own the design, delivery, and operation of the AI agent platform, including durable sessions, sandboxed execution, long-running tasks, memory, and tool integration.
• Evaluate emerging agent frameworks, models, protocols, and orchestration patterns, turning suitable solutions into stable platform primitives.
• Co-design integrations connecting agents with enterprise tools and the scientific computing stack.
• Build permission, approval, audit, security, cost, and token-control mechanisms for safe and governable autonomy.
• Develop evaluation, tracing, observability, and quality-monitoring capabilities for non-deterministic systems.
• Operate production workloads on Google Cloud with a focus on reliability, failure handling, and user feedback.

Requirements

• 5+ years of software engineering experience with strong Python and distributed backend systems expertise.
• Experience architecting, building, and operating production-grade agentic or LLM systems beyond the prototype stage.
• Hands-on knowledge of MCP, agent SDKs and CLIs, multi-agent orchestration, and sandboxed code execution.
• Production experience with Kubernetes and a major cloud platform, ideally Google Cloud, including stateful and long-running services.
• Experience with infrastructure as code using Terraform and CI/CD.
• Strong security, evaluation, observability, platform thinking, communication, and consensus-building skills.

Nice to have

• Experience with model gateways and routing.
• Exposure to scientific or high-performance computing, batch schedulers, HPC clusters, or simulation-heavy environments.
• Open-source contributions to AI or agent tooling.
• Technical mentorship experience.

Culture & Benefits

• Work on complex technology challenges focused on abundant, safe, clean energy.
• Collaborate with a growing team across Munich, Zurich, and Oxford.
• Join a diverse, high-performing team that values different perspectives, clear communication, and shared ownership.
• The role is positioned at level L3 within the company framework.

Hiring process

• Recruiter interview lasting 30–60 minutes.
• 30-minute technical screening followed by a technical panel with three 60-minute interviews.
• 30-minute CEO call.