Position
Infrastructure Engineer
Salary
£65k–£95k + Equity
Company Description
High‑growth London startup building the agentic knowledge layer for AI
Location
London, UK
Job Description
You will architect the foundational stack for AI search, building the storage, retrieval, and indexing systems that enable agents to access knowledge at scale. This role involves moving from first‑principles research to production‑ready systems, ensuring that agentic workflows are fast, cheap, and capable of handling petabytes of structured information for deep research.
Why this role is remarkable
- You are building the product itself; the infrastructure is the core offering that powers the next generation of AI agent workflows.
- Join a lean, high‑caliber team where you have direct ownership of the stack and move from architecture to production within the same week.
- Shape the direction of information retrieval in its renaissance, working on systems‑intensive challenges that most engineers never get to touch.
What You Will Do
- Own critical infrastructure layers end‑to‑end, including data lakes, ingestion pipelines, and ML serving systems using Rust and Python.
- Make high‑stakes architectural decisions regarding storage formats, query algorithms, and scheduling models that define long‑term system performance.
- Optimize concurrency, networking, and IO at petabyte scale to drive query latency and operational costs down to the absolute minimum.
The Ideal Candidate
- A systems‑focused engineer with 3+ years of experience shipping distributed systems, databases, or search infrastructure in production environments.
- Highly proficient in Rust and Python with hands‑on experience operating large‑scale workloads on AWS or GCP using Kubernetes and Terraform.
- A relentlessly resourceful builder who uses AI engineering tools to multiply output and possesses the “cracked” technical talent required for foundational work.
