Valyu is seeking a Junior to Mid-level Full Stack Engineer to build the agentic knowledge layer for AI. You will own product surfaces end-to-end, from customer dashboards to internal tools, using a modern stack including Next.js and Supabase. You’ll integrate LLM-driven workflows and create AI-native interfaces that define how agents interact with structured knowledge.
Full Stack Engineer at Valyu
Join Valyu in London to build the foundational knowledge layer for the next decade of AI. As a Full Stack Engineer with 1-3 years of experience, you will own the end-to-end development of AI-native search infrastructure, working with a modern stack including Next.js and Supabase. If you are a 'cracked' developer who cares about design taste and wants to build tools that LLMs use for deep reasoning, this is your chance to ship magical products at the frontier of the AI renaissance. You will work on everything from infrastructure for tool calls to user-facing dashboards, ensuring every detail feels perfect.
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Location
London, United Kingdom
Compensation
£55k-£95k + Equity
Company
Valyu
Role overview
Valyu is the knowledge infrastructure platform for AI agents. We help knowledge work companies transform web and proprietary information into structured, attributed context that powers reasoning, research, and decision-making. Through our search and deep research infrastructure, AI systems gain real-time access to trustworthy, domain-specific knowledge at scale. As search becomes the core primitive of AI, Valyu is building the foundation that enables agents to discover, understand, and synthesise information across thousands of sources.
What you will do
- Ship end-to-end product surfaces using Next.js, Supabase, and Vercel, maintaining a high bar for design quality and user experience.
- Build and iterate on AI-native interfaces and infrastructure for tool calls, agent runtimes, and deep research workflows.
- Work directly with customers in forward-deployed settings to translate complex technical needs into magical, functional product features.
Who this is a fit for
- Has 1-3 years of experience shipping real-world products with a strong mastery of TypeScript, React, and full-stack data modeling.
- Demonstrates exceptional product instinct and design taste, caring deeply about the “feel” and UX of the tools they build.
- Is relentlessly resourceful and proficient with AI engineering tools like Claude Code to multiply output and master new skills rapidly.
Why this role is remarkable
- Build the core primitive for the agentic era, creating the specialized search infrastructure that high-performance AI systems require to function.
- Join a high-velocity team where “cracked” engineers are the standard, working at the intersection of first-principles ML research and hard software engineering.
- Gain significant ownership and equity in a London-based startup tackling one of the most foundational questions in the future of software development.
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