At a Glance
- Tasks: Architect and build the foundational stack for AI search and knowledge retrieval.
- Company: High-growth London startup revolutionising AI workflows.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Other info: Join a lean team with ownership over critical infrastructure and rapid project turnaround.
- Why this job: Directly shape the future of AI infrastructure and make a real impact.
- Qualifications: 3+ years in distributed systems, proficient in Rust and Python.
The predicted salary is between 65000 - 95000 £ per year.
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.
Infrastructure Engineer (£65k–£95k + Equity) at Valyu employer: Jack & Jill
Valyu is an exceptional employer for those seeking to make a significant impact in the AI landscape. Located in the vibrant tech hub of London, we offer a dynamic work culture that fosters innovation and collaboration, alongside competitive salaries and equity options. Our lean team structure ensures that every engineer has the opportunity for direct ownership of projects, enabling rapid personal and professional growth while tackling cutting-edge challenges in infrastructure engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure Engineer (£65k–£95k + Equity) at Valyu
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jack & Jill or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jack & Jill.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jack & Jill.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jack & Jill that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Infrastructure Engineer (£65k–£95k + Equity) at Valyu
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jack & Jill.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jack & Jill and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jack & Jill uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
