Seeking a Founding Platform Engineer to build infrastructure for securing AI agents and autonomous systems. This broad, high-ownership role involves distributed systems, backend engineering, cloud, and AI/ML infrastructure. Requires strong backend/systems experience, Python, distributed systems knowledge, and production observability.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
🚀 Founding Platform Engineer – AI Security
📍 London – Onsite
đź’° Competitive Salary + Founding Equity + Bonus
We’re partnered with an early-stage AI Security company building infrastructure to secure the next generation of autonomous systems and AI agents.
Already working with high-assurance AI companies and government customers, they’re now looking for a Platform Engineer to become one of the foundational technical hires and help build the infrastructure that allows organisations to deploy AI agents safely.
This is a broad, high-ownership engineering role spanning distributed systems, backend engineering, cloud infrastructure, security and AI/ML infrastructure.
What You’ll Build 👇
- Low-latency enforcement systems that evaluate and control AI agent activity
- Distributed tracing and observability across agents, services, tools and model calls
- Secure, multi-tenant backend services and data infrastructure
- Tamper-evident audit and evidence systems
- Event-driven and streaming infrastructure designed for reliability under load
- Sandboxed environments for security testing and evaluation workloads
- Model-serving infrastructure, including containerised workloads and GPU inference
- Cloud infrastructure, deployment pipelines and production security controls
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You’ll work directly with the founders and early customers, with real influence over architecture, engineering standards and product direction.
What They’re Looking For đź§
- Strong backend, systems or infrastructure engineering experience
- Strong Python experience preferred
- Distributed systems knowledge — latency, concurrency, retries, backpressure and failure handling
- Production observability and distributed tracing experience
- Strong PostgreSQL and multi-tenant architecture knowledge
- Containers, cloud infrastructure and CI/CD
- Good understanding of IAM, secrets management and infrastructure security
- Someone comfortable owning critical systems from design through to production
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Particularly Interesting ⚙️
Experience with any of the following would stand out:
PostgreSQL / RLS • OpenTelemetry • GCP • Cloud Run • Kubernetes / Containers • Distributed Systems • MLOps • GPU Inference • Sandboxing • IAM • Security Infrastructure
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You don't need all of it — they're much more interested in evidence you've owned difficult production systems than someone who's collected every keyword like Pokémon cards.
Why Join? đź’ˇ
- Join early enough to have founding-level technical influence
- Build a systems engineering function rather than inherit one
- Work on genuinely new infrastructure problems created by autonomous AI agents
- Real customers and high-consequence AI deployments already using the technology
- Direct access to founders with backgrounds across MIT, NASA, Microsoft, government and startups
- Meaningful founding equity and a path into senior technical leadership
- UK visa sponsorship available
If you’re a strong Platform/Systems engineer who wants to work at the intersection of distributed systems, infrastructure, security and AI, this is a seriously interesting one.
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