Fullstack Engineer (Product & Open Source)
Posted 8 hours 46 minutes ago by Hiverge
At Hiverge, our mission is to build algorithmic superintelligence: an AI discovery engine that automatically writes algorithms for the most critical optimisation problems.
Our founding team is composed of world class researchers from Google DeepMind and University of Cambridge, having co developed AlphaTensor, FunSearch, and Nobel prize winning AlphaFold. At Hiverge, you will be working with the brightest minds in AI, algorithms, and mathematics.
If you're passionate about AI and eager to shape transformative technologies, we'd love to hear from you.
About this roleWe're looking for a versatile Fullstack Engineer to join our team and help build and scale modern developer platforms. You'll work across the stack, contribute to architectural decisions, and play a key role in shaping both our internal systems and open source efforts. This role combines hands on engineering with opportunities to influence product direction and community growth.
As a Fullstack Engineer, you will
Own full stack solutions end to end: You'll design, build, and operate 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.
Implement monitoring, logging, and observability solutions to gain actionable system insights.
Build modular, maintainable UI components that feel seamless and fast.
Contribute to our open source projects to enhance performance, usability, and maintainability.
Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
3+ years building frontend applications with TypeScript (Next.js), React and Node.js.
2+ years developing backend services with working knowledge of Python
Familiarity with databases (MySQL, PostgreSQL, etc.), GraphQL APIs.
Product mindset: able to contribute to product design, understand user requirements, and prioritize features.
Experience with machine learning workflows, like MLFlow, LangFuse.
Proven experience delivering production ready applications end to end is a plus
Cloud or DevOps experience (AWS, GCP, Azure, Kubernetes).
Familiarity with AI agents or LLM based systems, like RAG.
Experience in developing authentication and authorization systems is a plus
Experience contributing to open source projects or maintaining community projects is highly valued.
We offer competitive compensation, generous benefits packages, and offer a stimulating work environment, with the opportunity to contribute to the future of generative AI.