Software Engineer

About us

Telluvian is a London-based, VC-backed pre-seed startup. We use mechanistic interpretability, our understanding of what's happening inside neural networks, to make AI cheaper and more secure. Learn more at telluvian.ai.

The role

We're looking for a graduate backend engineer to build and run the infrastructure our research and product depend on. This is primarily an engineering role rather than a research one but you'll be working next to interpretability researchers, and you'll need to understand what they're doing well enough to know how it should shape the systems you build.

You'll join a team of fewer than ten people, and you'll own real infrastructure early. If you like large, messy, half-defined problems and get satisfaction from making things work, this will suit you.

This is a full time position with flexible working hours. We ask that you're in person in the London office at minimum four days a week.

Start date is flexible but our target date is mid September.

What you'll do

• Cloud infrastructure and resource management. Configuring compute, minimising costs, keeping things up.
• Inference management for our ML systems. Getting models served reliably and efficiently. This is the hardest part of the role and the part we expect you to learn on the job.
• Hosting and maintaining our website. Occasional minor changes; this is not a frontend role.
• General backend product engineering across the stack as we grow.

What we're looking for

• A computer science or related STEM degree, ideally with at least one relevant internship or prior work experience.
• Strong general software engineering skills. This means you can reason through a system design question and explain and/or justify your choices.
• A track record of shipping: work you've built, deployed, and kept running, whether professionally, at university, or on your own time.
• Working familiarity with ML concepts. We aren’t looking for you to do novel research, but you should understand roughly what a model is doing and why it matters for the system around it.
• Self-motivated. You'll often be working independently and you’ll need to work effectively in a self-directed way.

Nice to have

• Cloud platform experience (AWS, GCP, Azure)
• DevOps: CI/CD, containers, infrastructure as code
• Python, particularly with NumPy, PyTorch, or Transformers
• Any exposure to serving or scaling ML models

What we offer

• Ownership of key infrastructure from day one.
• Meaningful equity in the company.
• Flexible, fast-paced, independent working.
• Close proximity to frontier interpretability research, and the chance to grow into it if you want to.
• 28 days paid annual leave.
• Workplace pension with employer contributions.

How to apply

Send a CV and cover letter to careers@telluvian.ai. The process is an initial screening followed by two online interviews and an in-person paid work test.

We unfortunately don’t have the capacity to provide visa sponsorship at this time.

As part of your email please include your earliest available start date.