At a Glance
- Tasks: Engage with customers to optimise AI workflows and evaluate production systems.
- Company: Join Callosum, a pioneering Intelligent Systems Company in London.
- Benefits: Competitive salary, equity, private healthcare, and relocation support.
- Other info: Dynamic team culture with opportunities for growth and leadership.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in production systems, LLM infrastructure, and customer-facing roles.
The predicted salary is between 59400 - 72600 £ per year.
About Us
We’re living through a Cambrian explosion of intelligence: new models and new chips, each specialised for different tasks, are arriving all at once. The result is a new era for AI, one of radical heterogeneity. Callosum is the Intelligent Systems Company. We believe the next generation of AI won't be defined by any single model or chip, but by intelligent systems in which hardware and intelligence co-evolve. We are building the infrastructure that unifies heterogeneous compute across the full stack. This opens a new axis of scaling intelligence: a dynamic system that tailors itself to what each workload actually needs, whether that’s speed, cost, precision, or whatever unit comes next.
The last era scaled on a different bet: one bigger model, more of the same chip, more data. That bet is running into structural limits. Frontier models offer extraordinary capability at unsustainable cost, one that today’s monolithic infrastructure was never designed to serve.
Our founding principle is that intelligence comes from many specialised systems working together, not from any single component. We build the software orchestration layer that co‑evolves models, workflows and silicon into one system, delivering inference tailored to every workload, and demonstrating orders‑of‑magnitude leaps in capability and cost.
Because our software spans the full stack, our engineering team works directly with heterogeneous accelerators and frontier silicon, including Cerebras, d‑Matrix, Intel, NVIDIA, AMD, Normal Computing, Tenstorrent, GreatSky, and Mixx. We are not stopping at today’s chips: each new generation of silicon unlocks algorithms that couldn’t run before, and we intend to be first to them, every time. If we get it right, it will belong to everyone building on it - not to any single vendor.
In our latest funding round, we raised $100M, led by Atomico with participation from Plural, DCVC and the UK Sovereign AI Fund’s first investment. With this, we are building the infrastructure for the next era of intelligence.
We are engineers and scientists based in London, working across the full depth of the stack. We are curious, intellectually honest, and building what doesn’t exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we’d love to hear from you.
About the Role
The Applied AI team own Callosum’s customer engagements end to end. You will work directly with customer engineering teams to understand their AI workloads, design and run rigorous evaluations against their production pipelines, integrate optimised workflows into their systems, and make sure the results hold in production.
At Callosum, Applied AI Engineers are the technical bridge between what customers run and what we build. What you learn shapes the research and platform roadmap. The evaluations you run are how we prove the technology in production. As an early member of the team, you will help build the methodology, tooling, and engagement practices the function runs on. The role is engineering‑led: you will employ technical judgment to recognise what kind of system a problem needs and prototype it.
You will work closely with the engineers designing new intelligent systems, with the platform team that serves them, and directly with senior technical stakeholders on the customer side. We run a flat Member of Technical Staff structure. Responsibility and scope grow with what you demonstrate, including leadership of the Applied AI function as the team scales.
What You’ll Build
- Customer engagement from first workload scoping through evaluation, integration, and production deployment
- Design and run rigorous evaluations on customers’ production workloads: set success criteria, instrument the comparison, present results to their engineering teams
- Develop deep technical understanding of customer systems (retrieval pipelines, agentic workflows, code intelligence stacks) and design optimised Callosum workflows
- Integrate Callosum workflows into customer environments and support them through to stable production
- Work with our research and platform teams to turn what you learn into general product capability
- Build the team’s shared methodology: evaluation harnesses, integration runbooks, and engagement standards
What You Bring
- Exceptional technical depth, demonstrated through any of: production systems at scale, research that shipped, or an early/founding role where you owned the system end to end
- Experience with LLM serving infrastructure, agent orchestration, or retrieval systems
- Rigour in evaluation or benchmarking work
- A bias for action, comfort with ambiguity and a strong sense of ownership
What Sets You Apart
- Experience working directly with external engineering teams, whether as a forward deployed engineer, solutions architect, technical consultant, or comparable customer‑facing role
- Familiarity with novel accelerator platforms
- Experience at an early‑stage company or in a founding‑engineer role
What We Offer
- Competitive Salary, determined by skills and experience
- Equity & Ownership
- Private healthcare
- We offer Visa sponsorship and relocation benefits to hire the best in the world
- We work in person at our London office. You’ll have the tools, space and setup to do your best work, and if you have specific needs, just tell us
- We’re committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.
Applied AI - Member of Technical Staff employer: UNCOVER
Join a prestigious UK law firm that values its employees and fosters a collaborative work culture in the vibrant cities of London and Brighton. With a strong commitment to professional development, you will have access to excellent growth opportunities while working on complex, high-profile matters alongside experienced professionals. The firm's supportive environment encourages mentorship and innovation, making it an ideal place for those seeking meaningful and rewarding employment in the legal sector.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI - Member of Technical Staff
✨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 UNCOVER 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 UNCOVER.
✨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 UNCOVER.
✨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 UNCOVER 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 Applied AI - Member of Technical Staff
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 UNCOVER.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at UNCOVER 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 UNCOVER
✨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 UNCOVER 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.