As a Founding Applied Scientist, you will architect the foundational memory, reasoning, and learning capabilities of autonomous agentic systems. You will transcend traditional ML engineering by pioneering technologies for long-horizon planning and knowledge representation. This role focuses on building enterprise-grade superintelligence by combining cutting-edge research with world-class engineering to define the future of agentic AI.
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Founding Applied Scientist at fast-growing AI startup
Are you a world-class expert in reinforcement learning or search systems? Join a fast-growing AI startup in London as a Founding Applied Scientist and architect the next generation of agentic superintelligence. This isn't just another RAG role—you'll be building foundational long-horizon memory and synthetic world models for autonomous agents. Backed by top-tier VCs, this role offers the rare chance to define how AI agents learn, reason, and scale within the enterprise from day one.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Fast-growing AI startup
What you will do
- Design and scale foundational long-horizon memory and knowledge infrastructure that enables agents to reason over evolving enterprise contexts.
- Develop state-of-the-art search and retriever systems using novel indexing techniques and new forms of knowledge representation.
- Apply deep expertise in reinforcement learning and reasoning to guide agentic behavior in complex, multi-step tasks.
Who this is a fit for
- Possesses world-class expertise in search, retrieval, or reinforcement learning with a track record of applying research to production systems.
- Demonstrates strong engineering fundamentals to design and deploy robust, enterprise-grade systems capable of scaling to trillion-agent interactions.
- Thrives in high-autonomy environments and is driven to define the foundational technologies for enterprise-level agentic superintelligence.
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Why this role is remarkable
- You will be a founding member of the team, directly shaping the core architecture of next-generation autonomous agents.
- Backed by top-tier VCs, the company offers the stability of significant funding with the high-impact environment of an early-stage startup.
- The role moves beyond standard RAG, allowing you to innovate on unsolved problems in multi-stage retrieval and synthetic world models.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.