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Infrastructure Engineer at Valyu

Valyu is looking for an Infrastructure Engineer to join our nine-person team in London to build the foundational search and memory layer for the next generation of AI agents. Backed by over £2M in seed funding, we are developing petabyte-scale retrieval systems that provide AI tools with the fast, actionable context they need for deep reasoning. You will own core systems end-to-end, writing high-performance code in Rust and Python while making critical architectural calls on storage formats and query algorithms. If you want to build the infrastructure that agents actually run on—not just use them—this is your chance to join a mission-driven team at the intersection of ML and systems engineering.

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Valyu

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Location

London, United Kingdom

Compensation

£65k-£95k + Equity

Company

Valyu

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Role overview

Join Valyu to own the core infrastructure powering the next generation of AI agents. You will design and operate petabyte-scale storage, retrieval, and serving systems. By building high-performance architectures in Rust and Python, you’ll ensure that AI agents have the fast, reliable context they need for complex reasoning and research.

Valyu is the knowledge infrastructure platform for AI agents. We help knowledge work companies transform web and proprietary information into structured, attributed context that powers reasoning, research, and decision-making. Through our search and deep research infrastructure, AI systems gain real-time access to trustworthy, domain-specific knowledge at scale. As search becomes the core primitive of AI, Valyu is building the foundation that enables agents to discover, understand, and synthesise information across thousands of sources.

What you will do

  • Own the end-to-end architecture of critical layers, including search and storage engines, data lakes, ingestion pipelines, and ML serving systems.
  • Make foundational technical decisions on storage formats, query algorithms, and scheduling models that balance petabyte-scale latency against operational costs.
  • Engineer high-concurrency systems using Rust and Python, operating them on AWS and GCP with tools like Kubernetes, Terraform, and advanced observability.

Who this is a fit for

  • A mid-level engineer with at least 3 years of experience shipping and operating systems-intensive infrastructure or distributed systems in production environments.
  • Highly proficient in Rust and Python, with a background in database internals, search infrastructure, or scaling ML systems like vector databases and RAG.
  • A relentlessly resourceful builder who has managed cloud workloads on AWS/GCP and possesses the technical judgment to make long-term architectural trade-offs.

Why this role is remarkable

  • Work at the frontier of AI infrastructure where your code defines how agents access and process world knowledge at a petabyte scale.
  • Join a lean, highly technical team of nine in London backed by over £2M in seed funding, offering immense ownership and minimal abstraction.
  • Experience a true renaissance in information retrieval, moving from first-principles research to production-ready systems that handle indexing and serving in real-time.

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