At a Glance
- Tasks: Architect and build foundational AI infrastructure for search and data retrieval.
- Company: High-growth London startup revolutionising AI knowledge access.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Other info: Join a lean team and tackle unique engineering challenges.
- Why this job: Directly shape the future of AI with hands-on impact and ownership.
- Qualifications: 3+ years in distributed systems, proficient in Rust and Python.
The predicted salary is between 65000 - 95000 £ per year.
High‑growth London startup building the agentic knowledge layer for AI.
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.
Infrastructure Engineer (£65k–£95k + Equity) at London startup building the agentic knowledge l[...] employer: Jack & Jill
Join a dynamic and innovative London startup that is at the forefront of AI technology, where you will have the opportunity to shape the future of information retrieval. With a strong emphasis on employee growth, our collaborative work culture encourages creativity and ownership, allowing you to make impactful architectural decisions while working alongside a high-caliber team. Enjoy competitive compensation, equity options, and the chance to tackle unique challenges in a fast-paced environment that values your contributions.
