Infrastructure Engineer (£65k–£95k + Equity) at Valyu
Jackandjillai — United Kingdom · Posted ~1 day ago
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Job Title
Infrastructure Engineer
Salary
£65k–£95k + Equity
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.
Location
London, UK
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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