Senior Software Engineer – API & ML Infrastructure

About Us
We’re a stealth-mode deep tech startup rethinking how AI models train, adapt, and scale. Our mission is to optimise large-scale AI systems — making them faster, smarter, greener, and cheaper. We are backed by leading VCs and already have commercial traction.

If you’re excited by infrastructure that powers the frontier of machine learning, we’d love to talk.

The Role
We’re looking for a Senior Software Engineer to lead development of a high-performance API platform that serves machine learning models at scale. You’ll take full ownership of the infra stack — from backend APIs to deployment and scaling. This role sits at the intersection of MLOps, cloud-native architecture, and distributed systems.

What You’ll Do

Build scalable APIs with FastAPI (or similar), Python, and modern web tooling
Design and maintain ML model serving infrastructure
Collaborate with ML engineers on training and deployment workflows
Own deployment: Kubernetes, Terraform, CI/CD pipelines
Drive best practices in system design, performance, and reliabilityWhat We’re Looking For

Strong backend skills — Python, REST APIs, FastAPI
Proven experience scaling cloud-native systems (AWS, microservices, IaC)
Kubernetes + Terraform expertise in production environments
Solid understanding of ML deployment (e.g. PyTorch, TensorFlow, JAX)Why Join?

Equity with serious upside and rapidly rising valuation — early-stage, high-impact
Work at the cutting edge of ML systems and optimisation
Autonomy and ownership from day one
 Fast growth path — help define both tech and culture
 Close-knit, no-ego team of engineers and researcher