Jack & Jill
Staff Software Engineer (£130k-£150k + Equity) at UnlikelyAI
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Job Title
Staff Software Engineer
Salary
£130k-£150k + Equity
Company Description
UnlikelyAI is a Series A London startup founded by William Tunstall-Pedoe, the creator of Alexa, building a novel neurosymbolic platform. They combine LLMs with proprietary symbolic technology to provide reliable, explainable AI for regulated industries, already serving tier-1 banks and leading accountancy firms in high-stakes financial and compliance sectors.
Job Description
As a Staff Software Engineer at UnlikelyAI, you will be the lead individual contributor shaping a novel neurosymbolic platform. You'll bridge the gap between probabilistic machine learning and deterministic computing, architecting public APIs and document pipelines that enable enterprises to deploy reliable, explainable AI at scale for high-stakes financial and compliance use cases.
Location
London, UK
Why this role is remarkable
- Work at the frontier of AI alongside a world-class team from Google, Amazon, and Imperial College, founded by the visionary creator of Alexa.
- Solve the critical "reliability problem" in AI by building a unique neurosymbolic engine that combines the power of LLMs with deterministic, symbolic reasoning.
- Lead the transition from bespoke enterprise engagements to a scalable global platform, owning the architecture of the company's first public API and core infrastructure.
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What You Will Do
- Architect and build the foundational public API, making critical decisions on scalability, versioning, and developer experience that will shape the platform for years.
- Design and implement complex document ingestion pipelines and symbolic reasoning engines capable of handling diverse regulatory data formats with deterministic precision.
- Drive cross-cutting technical initiatives and raise the engineering bar by mentoring talent, conducting deep system design reviews, and establishing production-quality standards.
The ideal candidate
- Deep expertise in Python and a proven track record of architecting large-scale, production-grade systems within complex collaborative codebases and monorepos.
- Extensive experience with complex algorithms, data structures, and cloud infrastructure (AWS/Terraform) to support non-trivial algorithmic problems at enterprise scale.
- Demonstrated technical leadership through influence, having shaped the architectural trajectory of products or platforms without necessarily managing direct reports.
Who are Jack & Jill?
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
How does this work?
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 it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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