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Unlikely AI

Neurosymbolic AI platform for trusted automation

Senior Software Engineer Lead

Backend EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Experience leading delivery for a team of 4 to 8 engineers and shipping to enterprise customers on time and to a high standard.
  • Experience mentoring engineers and helping them grow.
  • Ability to communicate clearly with customers and non-engineers and lead technical conversations with enterprise teams.
  • Strong back-end experience in any language, including agent-written code, and ability to make sound technical decisions.
  • Experience owning production cloud services, ideally on AWS, with strong engineering practices including code review, automated testing, continuous integration and continuous delivery, and on-call.
  • Understanding of the expectations of enterprise security and compliance teams.
  • An AI-first working approach, with firm views on how a team should review and test agent-written code.

Responsibilities

  • Own the technical plan for Uncheck and lead delivery against commitments made to customers.
  • Build software hands-on by writing production code, reviewing others' work, and making technical decisions with the team in alignment with senior engineering and leadership.
  • Lead how the team builds with AI agents, including reviewing, testing, and safely shipping agent-written code, and measuring its effect on delivery.
  • Ensure Uncheck runs reliably and securely in the cloud as it scales to new customers and regions.
  • Lead technical conversations with customers' IT, security, and architecture teams from initial evaluation through live use.
  • Work with product and research colleagues to turn new capabilities and customer feedback into clear priorities.
  • Mentor engineers across the team.

Desired Qualifications

  • Experience shipping AI-powered products or features to customers and making their output reliable at scale.
  • Experience with Python.
  • Experience in a regulated industry, such as financial or professional services, legal, insurance, or healthcare.
  • Experience taking a product into new regions.
  • DevOps, infrastructure, and Site Reliability Engineering experience, such as infrastructure as code, continuous integration and delivery pipelines, and observability.

About the Company

Unlikely AI

Neurosymbolic AI platform for trusted automation

Unlikely AI develops a neurosymbolic platform that combines large language models with symbolic and algorithmic methods to run highly intelligent automated systems. The system uses LLMs for natural-language understanding and flexible reasoning, while symbolic components enforce rules and verifiable logic for auditable outcomes in enterprise environments. This approach aims to improve accuracy, explainability, and safety compared with purely probabilistic models. The goal is to help people and organizations flourish by providing trusted, controllable intelligent automation through licensing the platform, delivering bespoke AI solutions, and offering expert advisory services.

Company size
11-50
Company stage
Seed
Total funding
$21.5M
Headquarters
London, United Kingdom
Founded
2018

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