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- Tasks: Design innovative intelligent systems that outperform traditional models and tackle complex customer problems.
- Company: Join Callosum, a pioneering company in heterogeneous intelligence and cutting-edge AI solutions.
- Benefits: Competitive salary, equity, private healthcare, and relocation support for top talent.
- Other info: Inclusive workplace culture with opportunities for personal and professional growth.
- Why this job: Be part of a team solving hard problems and shaping the future of AI technology.
- Qualifications: Hands-on experience with LLMs, strong production engineering skills, and ability to work independently.
The predicted salary is between 70000 - 90000 £ per year.
About Us
Artificial intelligence scaled on a bet - that bigger models, more identical chips, and more data would keep delivering. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. The next era belongs to heterogeneous intelligence: diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability unreachable by any single model or accelerator.
Callosum is the Intelligent Systems company. We built the infrastructure to make that possible. Our co-evolution engine optimises simultaneously across workflows, agents, and silicon. We launched in early 2026 showing orders of magnitude improvements in performance and a shift in the cost-performance frontier that no single chip or model provider can provide. We believe intelligence comes from the system, not the model. We are scientists and engineers solving what others consider impossible. If you thrive on hard problems, and are passionate and energised by the scale of the challenge, we'd love to hear from you.
About the Role
Intelligence comes from the system, not from any single model. Designing those architectures is the core of Callosum's work - and the core of this role. You will design new intelligent systems: configurations of models, decomposition strategies, and coordination patterns that outperform frontier monolithic equivalents on the workloads our customers actually run. The work spans the full arc - from translating an ambiguous customer problem into a precise architectural hypothesis, to prototyping and benchmarking against frontier baselines, to handing a validated design to the team that ships it into production.
You will work closely with our forward-deployed engineers, who surface the hardest customer problems, and with engineers on the silicon side of co-design, who expose new hardware properties you can exploit. The systems you build enter our catalogue and get served at scale. This role sits on the software side of co-design. There is a hardware counterpart focused on silicon-level work; the two collaborate continuously.
Who we are looking for
Our team's backgrounds vary widely; what unites them is high agency, real ambition, and a track record of driving hard problems from ambiguous to solved. Substantial hands-on experience with modern LLMs - not at the API-consumer level, but at the level of someone who has trained, fine-tuned, served, or built non-trivial systems on top of them and understands what is happening underneath. Strong production engineering: you ship code, not notebooks. Empirical rigour: you benchmark honestly, profile before optimising, and do not claim wins you have not measured. The ability to operate without supervision on problems whose shape is not yet clear.
What Stands Out
- Direct experience with multi-agent or compound systems, LLM inference and serving, reinforcement learning, distillation and fine-tuning, programmatic prompt or topology optimisation, or structured and constrained generation.
- Open-source work, research publications, or production deployments at meaningful scale.
- A history of sitting close to users or domain experts and translating their problems into systems that solve them.
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.
Intelligent Systems Engineer in London employer: Callosum
Contact Detail:
Callosum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intelligent Systems Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to intelligent systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to intelligent systems engineering. Think about how you would tackle real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Callosum.
We think you need these skills to ace Intelligent Systems Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Intelligent Systems Engineer role. Highlight your hands-on experience with modern LLMs and any relevant projects that showcase your problem-solving skills. We want to see how you fit into our vision!
Show Your Passion: Let your enthusiasm for tackling complex problems shine through in your application. Share specific examples of challenges you've faced and how you approached them. We love candidates who are energised by the scale of the challenge, so don't hold back!
Be Honest About Your Skills: When discussing your experience, be upfront about what you can do. If you've benchmarked or optimised systems, share those details! We value empirical rigour and want to know how you measure success in your work.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you're keen to join our team at Callosum!
How to prepare for a job interview at Callosum
✨Know Your Stuff
Make sure you have a solid understanding of modern LLMs and intelligent systems. Brush up on your hands-on experience with training, fine-tuning, and deploying these models. Be ready to discuss specific projects you've worked on and the challenges you faced.
✨Understand the Company’s Vision
Familiarise yourself with Callosum's approach to heterogeneous intelligence. Understand how their co-evolution engine works and be prepared to discuss how your skills can contribute to their mission of solving complex problems through innovative system designs.
✨Prepare for Problem-Solving Questions
Expect to tackle ambiguous problems during the interview. Practice articulating your thought process when approaching complex issues, and be ready to showcase your empirical rigour by discussing how you benchmark and optimise systems.
✨Show Your Collaborative Spirit
Since this role involves working closely with both software and hardware teams, highlight your experience in collaborative environments. Share examples of how you've translated user needs into effective solutions and how you’ve worked alongside engineers to achieve common goals.