Senior Full Stack Engineer
LinkupNYC (NY), San Francisco (CA) or Paris (FR)Posted 27 March 2026
Job Description
Senior Full Stack Engineer
ABOUT THE ROLE
We’re looking for a top‑tier Full Stack Engineer to join Linkup and work hand‑in‑hand with our CTO, Denis Charrier https://www.linkedin.com/in/denis-charrier/, and the rest of the tech team.
Your core responsibilities will be to:
- Build and operate large-scale, distributed systems powering AI-ready web search
- Develop APIs, frontends, and data pipelines for indexing, retrieval, and monitoring
- Design and implement intuitive, high-performance user interfaces for developers and enterprise users
- Maintain our web app and other user-facing products
- Optimize performance, scalability, and resource usage across our stack
- Participate in architecture discussions and contribute to system design
- Collaborate with ML and product teams to deliver data-driven features
- Write clean, maintainable code and participate in code reviews
REQUIREMENTS
You’re a great match if you:
- Are excited to help build Google for AI agents- and believe in Linkup’s mission https://www.notion.so/Join-Linkup-9a304f74df4544bf83d9b23c3b31b699?pvs=21
- Have strong experience in both frontend and backend development (3y minimum)
- Understand distributed systems, APIs, and modern frontend frameworks (React or similar)
- Care about performance, reliability, and code quality — both server-side and client-side
- Enjoy debugging tough production issues and optimizing performance bottlenecks
- Are curious about AI infrastructure and retrieval systems
- Thrive in a fast-paced, high-ownership startup environment
EXAMPLE PROJECTS
- Build an interactive dashboard showing live metrics from billions of indexed web pages
- Design developer tools for querying Linkup’s search API and visualizing retrieved facts
- Add multimodal search (text + images + audio) under 150 ms
- Implement internal UIs for data validation, ranking evaluation, and retraining workflows
- Stream 1 B embeddings/day while minimizing compute costs
OUR STACK
- Node.js / NestJS
- React
- Python
- Java
- PostgreSQL
- OpenSearch
- Vespa
- Apache Storm
- Kubernetes
- GitHub Actions
- Terraform
DETAILS
The ideal candidate will play a central role in our engineering team, partnering closely with the founders to spearhead groundbreaking products. Your expertise will shape the future of AI‑powered applications and bring our vision to life.
We offer a flexible remote‑work policy- see the details here https://www.notion.so/Linkup-Remote-Work-Policy-d593322ac4c84988b1c7c327d6c4d39e?pvs=21.
Join us and leverage your expertise to push the boundaries of AI!
ABOUT LINKUP
OUR VISION
We believe in a future of AI agents and the agentic web. These digital entities can create more value for humanity than we ever could alone, but they depend on the internet to operate, collaborate, take action, and gather information.
AI agents need web search. To perform well, they require information that is current, reliable, and context‑specific—not the diffuse, steadily aging knowledge frozen at their last training cut‑off.
Modern web search is built for humans, not AIs. Instead of trusted facts, it serves links, ads, and click‑bait. People want visually engaging pages; AI systems need structured truth. An AI can absorb oceans of data, while human attention barely skims the surface. Humans think visually and intuitively; AI reasons in latent space.
Web 2.0 is sunsetting. The deck is being reshuffled, and the Bing‑Google search oligopoly is crumbling. Indexing ever more pages is no longer the goal; semantically organizing facts for AI systems is. In the coming agentic web, Google’s ad‑driven model has no natural home.
Search for AI must be rebuilt from the ground up. We are reconstructing the web as a rigorously structured knowledge layer, mapping every concept, entity, and claim into a coherent semantic graph. This foundation delivers verified facts and rich context to AI instantly, unlocking faster reasoning, higher accuracy, and radically more ... (truncated, view full listing at source)
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