Senior Agent Platform Engineer

WHAT YOU WILL DO

• Own the design, delivery, and operation of our agent platform: the runtime and its primitives: durable sessions, sandboxed execution environments, long-running task execution, memory, and tool integration

• Turn a rapidly evolving agent ecosystem into stable platform building blocks: evaluate harnesses, models, and protocols as they emerge, and decide what becomes a supported primitive versus a passing experiment

• Co-Design the integration layer that connects agents to internal and external systems, from enterprise tools to our scientific computing stack, and the standards for how tools, skills, and context are exposed to agents

• Make autonomy safe and governable: permission and approval flows with human-in-the-loop escalation, capability boundaries, audit logging, cost and token controls, and hardening against prompt injection and tool abuse

• Build the evaluation and observability layer for non-deterministic systems: session tracing, quality evals, and cost/latency visibility, so we know agents work before our users have to find out

• Operate what you build on Google Cloud with production discipline: reliability, failure handling, and observability

• Work directly with demanding technical users and feed their feedback and your technical judgment into the platform roadmap you shape together with the team lead

WHO YOU ARE

Must have

• You have 5+ years of software engineering experience, with real depth in Python and distributed backend systems

• You have architected, built, and operated production-grade agentic or LLM systems well beyond the prototype phase

• You know the current agent ecosystem hands-on: MCP, agent SDKs and CLIs, multi-agent orchestration patterns, sandboxed code execution and have formed opinions on where the abstractions should sit

• You have run production workloads on Kubernetes and a major cloud (ideally GCP), and know what it takes to keep stateful, long-running services alive

• You treat evaluation and observability as platform features, not afterthoughts

• You take security seriously as a design constraint

• You think in platforms and internal products

• You are a low-ego, high-clarity communicator who can work directly with expert users and build consensus across teams

• You have experience with infrastructure as code (Terraform) and CI/CD

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/agent tooling

• A track record of technical mentorship

INTERVIEW PROCESS

• Recruiter Interview (30-60 min)

• Technical Screening (30 min)

• Technical Panel (3x60 min)

• CEO call (30min)

This role sits at "L3" of our framework, please inquire during the recruitment process for further information.