Join a high-caliber team of 40 as we transition from bespoke enterprise solutions to a scalable AI platform. You will build core capabilities at the intersection of symbolic AI and modern LLMs, developing high-performance Python systems that deliver reliable, explainable outcomes for top-tier financial institutions and global accounting firms.
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Senior Software Engineer at UnlikelyAI
UnlikelyAI is bridging the gap between LLMs and deterministic logic. If you're a Python expert who thrives on solving complex algorithmic challenges and wants to work alongside talent from Google and Amazon, this is your chance to make AI truly reliable and explainable for the world's leading financial institutions. You'll architect public APIs and scale document ingestion pipelines that are already catching errors human reviewers miss in high-stakes compliance environments.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
UnlikelyAI
Role overview
Software
UnlikelyAI is a London-based technology company pioneering neurosymbolic AI, which integrates the strengths of machine learning with symbolic computing to deliver reliable, explainable, and trustworthy artificial intelligence systems. Their platform emphasizes controllable, auditable, and hallucination-free AI solutions for decision-making, especially tailored for enterprises in highly regulated industries where transparency and trust are critical. Founded by William Tunstall-Pedoe, their technology bridges probabilistic machine learning and deterministic symbolic systems—aiming to eliminate common AI risks such as hallucinations, bias, and black-box decision-making. Unlikely AI's Universal Language (UL) underpins their solutions, enabling robust applications for large language models and generative AI. The company focuses on building AI products capable of previously impossible tasks, with a strong commitment to responsible development and real-world usability.
What you will do
- Design and implement core neurosymbolic infrastructure, including decision trees, propositional graphs, and knowledge graphs, within a collaborative Python monorepo.
- Architect the public API and developer experience, ensuring high scalability, robust authentication, and seamless document ingestion for enterprise-grade compliance tools.
- Develop advanced evaluation frameworks and feedback loops to benchmark and continuously improve system accuracy and performance against regulatory requirements.
Who this is a fit for
- Exceptional Python engineering skills with a track record of building well-tested, production-quality code and advocating for high standards in a monorepo environment.
- Deep expertise in complex algorithms and data structures, specifically applied to non-trivial problems like symbolic reasoning or knowledge representation.
- Experience leading end-to-end software ownership, from ideation to production, ideally within high-growth startups or complex regulated industries like fintech and audit.
Why this role is remarkable
- Work on a genuinely novel tech stack combining the probabilistic power of LLMs with proprietary deterministic symbolic guardrails to solve AI reliability.
- Join a prestigious team founded by William Tunstall-Pedoe (creator of Evi/Alexa) and staffed by elite engineers from Google, Amazon, and Imperial College.
- Play a pivotal role in the company's evolution as you architect and launch the public API and platform that will scale their technology globally.
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 UnlikelyAI wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.