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Senior Software Engineer – API & ML Infrastructure

Job description

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