About the Role
Join a small, high-impact team building a novel infrastructure product that serves as the backbone for next-generation AI applications — powering coding assistants, agent orchestration systems, and AI-first platforms at scale. You'll work directly with the founders to shape the technical direction of the company and leave a tangible mark on the product from day one.
This is an ideal role for an engineer who thrives in fast-moving environments, has a founder's mindset, or wants to accelerate their growth before launching their own startup someday.
What You'll Do
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Design, build, and maintain high-performance backend services that form the core of an AI gateway platform serving production workloads
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Own and evolve a pragmatic microservices architecture running on Kubernetes, with a core gateway written in Go and auxiliary/ML services in Python
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Make critical architectural decisions around scalability, reliability, and cost — balancing speed of delivery with production-grade quality
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Work across SQL databases and distributed caches, choosing the right tool for each problem
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Collaborate directly with founders to influence product strategy and engineering culture
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Help grow the engineering team and set the bar for technical standards as the company scales
What We're Looking For
Required:
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5+ years of backend development experience, with strong hands-on proficiency in Go (Golang)
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Deep understanding of concurrency and proven experience applying concurrent programming patterns in production
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Experience designing and working with microservices architectures, including API gateways
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Solid knowledge of various SQL databases and distributed caching solutions; ability to select and configure them appropriately
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Ability to design architectures that are both scalable and pragmatic — calibrated to the product's current stage and real needs
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Strong opinions on engineering trade-offs between quality, speed, and completeness; you know that "minimal" is not "broken"
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A track record of independently learning new technologies and applying them effectively
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Right to work in the United Kingdom — visa sponsorship is not available
Nice to Have:
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Familiarity with LLM infrastructure, AI routing platforms, or developer tooling for AI-first applications
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Experience with Kubernetes in production environments
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Background at high-growth startups or infrastructure-focused companies (e.g. API platforms, cloud infrastructure, observability tooling)
Tech Stack
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Core gateway: Go (Golang)
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Auxiliary / ML services: Python
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Orchestration: Kubernetes
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Data: SQL databases + distributed caches
Expect this stack to evolve — and expect to be the one helping redefine it.
Compensation & Benefits
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Competitive total compensation package
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Significant equity stake — meaningful ownership in an early-stage company
Location
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London, United Kingdom — on-site
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Visa sponsorship is not available; candidates must have the right to work in the UK
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