Infrastructure Engineer (£65k–£95k + Equity) at Valyu

Job Title

Infrastructure Engineer

Salary

£65k–£95k + Equity

Location

London, UK

Company Description

Valyu is a London-based, seed-stage startup with over £2M raised to build the foundational search and memory layer for AI agents. We are a team of nine engineering-focused individuals rethinking how AI-native applications access, understand, and act on petabyte-scale knowledge through advanced retrieval and indexing systems.

Job Description

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.

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.

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.

The ideal candidate

• 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.

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