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Hiverge

AI-powered algorithm discovery and code optimization

Product Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, UKNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience working as a software developer.
  • A proven track record of shipping user-facing products end to end, from database to user interface.
  • A product mindset, including the ability to contribute to product design, understand user requirements, and prioritize features.
  • Production experience with TypeScript, React, and at least one backend language such as Python, Golang, or Rust.
  • A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

Responsibilities

  • Own full-stack solutions end to end, designing, building, and operating systems across the stack, from front-end user experience to low-latency backend infrastructure.
  • Collaborate closely with product, engineering, and customer teams to capture requirements and deliver production-ready solutions.
  • Build modular, maintainable user-interface components that feel seamless and fast.

Desired Qualifications

  • Familiarity with AI agents or large language model-based systems.
  • Familiarity with relational databases such as PostgreSQL or MySQL and modern cloud infrastructure practices such as AWS, GCP, Azure, and Kubernetes.
  • Experience with secure development practices and cloud security.
  • Experience contributing to open-source projects or maintaining community projects.

About the Company

Hiverge

AI-powered algorithm discovery and code optimization

Hiverge builds an algorithm discovery engine that automatically writes and optimizes code for hard computational problems. Its Hive platform runs swarms of AI agents in parallel to generate, test, and evolve candidate algorithms against a customer's baseline code and metric, returning human-readable code. Its DeepMind/Cambridge heritage and focus on AI-driven algorithmic discovery and code optimization, plus a swarm-based approach, differentiate it from others. The goal is to help enterprises and researchers speed up training, planning, routing, scheduling, and other complex computations.

Company size
11-50
Company stage
Series A
Total funding
$24.1M
Headquarters
Cambridge, United Kingdom
Founded
2025

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