Engineering Software Engineer London (expect 5 days in office)

Telluvian; Greater London; Hybrid; GBP 40,000 - 55,000; Full time

Benefits offered by this job

Equity

28 days leave

Pension

Ownership of infra

Research proximity

Job summary

Telluvian is a London-based pre-seed startup building scalable ML infrastructure. We’re hiring a graduate backend engineer to build and run the systems that support our research and product.

This full-time role requires four days in the London office and offers ownership of key infra from day one, with meaningful equity and a close collaboration with frontier interpretability researchers.

Qualifications

• A computer science or related STEM degree and internship or prior work experience.
• Strong general software engineering skills, able to reason through system design.
• Track record of shipping projects, deployed and kept running.
• Familiarity with ML concepts and their impact on systems.

Responsibilities

• Manage cloud infrastructure and optimize costs.
• Ensure reliable serving of ML models and inference management.
• Maintain and host the company website (not a frontend role).
• Contribute to backend product engineering across the stack as the company scales.

Skills

Software engineering

System design

ML concepts familiarity

Self-motivated

Independent work

Education

Bachelor's degree in CS or related STEM

Tools

AWS

GCP

Azure

CI/CD

Containers

Job description

London (4 days in office expected) Full-time

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. 4 days a week in the London office is expected.

Start date is rolling.

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.
• 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.

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