Senior Software Engineer - API & ML Infrastructure

Build the backbone of the next generation of AI.

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. 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
• Build a slick analytics frontend using React or similar
• Drive best practices in system design, performance, and reliability

What We’re Looking For

• 5+ years of software engineering experience
• 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)
• Frontend skills with React/TypeScript or similar
• Bonus: big data / real-time analytics / multi-cloud

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