Artificial Intelligence Platform Engineer

We’re hiring an AI Platform Engineer to own the data infrastructure at a Series-funded AI startup. This isn’t a specialised role. You’ll sit at the intersection of backend and AI engineering. You’ll design and own the services and pipelines that move, transform, store and serve data across the product-including the AI-driven parts.

That means: synchronisation across relational, document, vector, graph, object and blob stores. Making sync vs async, lambda vs delta architectural choices. Owning the platform for AI engineers who are shipping fast and need infrastructure to keep up.

What You’ll Do

• Design, build and operate production Python services (REST/RPC and queue-based).
• Own the data backbone: ingestion, transformation, storage and retrieval.
• Make architecture trade-off decisions (latency, consistency, cost, operability) and own the consequences.
• Partner with product and AI engineers on clean, API-first service designs.
• Help your AI engineering team move from scrappy to scalable.

• 5+ years production Python
• Hands-on experience with multiple database paradigms (relational + at least one of: vector, document, graph)
• Real infrastructure ownership-you’ve built and owned systems, not just contributed to them
• Comfort with microservice architecture and trade-off reasoning

Nice to have:

• Event-based architecture (Kafka/NATS), infrastructure-as-code, gen-AI in production, product thinking.

Small, experienced team. 13 people. No middle management-never will be. We move quickly, ship to production continuously, and obsess over product quality.

Series-funded. Backed by top-tier investors.

300+ early users.

Still in stealth.

Why Join

• Ownership You own meaningful parts of the platform end-to-end. Short path from idea to production.
• Team: Small, experienced, high-energy. Direct access to founders. Low process, high autonomy.
• Infrastructure matters here: Data, AI and backend are all first-class concerns-not afterthoughts.
• Real compensation: Up to £130k salary (depending on experience) + equity up to 100% of salary in options.