Jack & Jill
Senior Software Engineer at UnlikelyAI

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Senior Software Engineer at UnlikelyAI
Senior Software Engineer
About the Role
Join UnlikelyAI, a London-based Series A startup founded by the creator of Amazon Alexa, and pioneer revolutionary neurosymbolic technology—a fusion of Large Language Models (LLMs) with deterministic symbolic reasoning.
You’ll contribute to transitioning from bespoke enterprise solutions to a scalable AI platform, building high-performance Python systems that deliver reliable, explainable outcomes for financial institutions and global accounting firms.
Key Responsibilities
- Core Infrastructure Development:
Design and implement neurosymbolic core technologies, including:
- Decision trees
- Propositional graphs
- Knowledge graphs within a collaborative Python monorepo.
- Public API & Developer Experience (DX):
Architecture the public API, ensuring:
- High scalability
- Robust authentication
- Seamless document ingestion for enterprise-grade compliance.
- Advanced Evaluation Frameworks: Develop frameworks to benchmark and improve system accuracy/performance against regulatory requirements.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Technical Requirements
- Exceptional Python engineering—experience in production-grade, well-tested code with monorepo discipline.
- Deep expertise in complex algorithms/data structures, particularly focused on:
- Symbolic reasoning
- Knowledge representation
- Non-trivial problem-solving architectures.
- Proven track record in end-to-end software ownership, spanning:
- Ideation → Research → Development → Deployment
- Preference for those in high-growth startups or regulated industries (e.g., fintech, audit).
Why This Role Stands Out
Technical Innovation
- Work at the forefront of neurosymbolic AI, bridging uncertainties in LLMs with precision via logical/knowledge-based guardrails.
Visionary Team Culture
- Lead a prestigious team founded by William Tunstall-Pedoe (Alexa/Evi creator).
- Collaborate with top-tier engineers from Google, Amazon, and Imperial College.


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Impactful Roadmap
- Shape the company’s future by architecting its public API
- Scale globally from stealth mode to enterprise adoption.
Location
London, UK
About UnlikelyAI
Unlikely is a neurosymbolic AI company combining the robustness of symbolic reasoning with the power of probabilistic models to tackle complex, human-heavy work.
We offer:
- Authentic facade for AI: Our systems provide “human-level intuitiveness,” helping automate intricate workflows.
- Tractability over promoded neuralicity: Avoid the “AI black box” via explicit, reasoned decision paths.
- Mental affordance: Leverage credibility by breaking down outputs into simplified, rationale-backed components.
Already convinced? Give Jack a call— and fast! This role promises ample opportunities for ambitious engineers anywhere on their Scrumstdlib journey.
“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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