Entry-Level Software Engineer Software Engineering

We’re building a world where AI can be fully trusted; one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with proprietary symbolic technology. We’re working with companies like Lloyd’s Bank, major accountancy firms and insurers to solve problems that LLMs can’t: AI that is reliable and explainable. At UnlikelyAI, we’re building on the frontier of research. Invention and speed are core to everything we do. The technology we develop has never existed before – and we’re looking for people excited by the difficulty of our mission.

The role involves working closely with research engineers and scientists to develop novel neurosymbolic solutions. As an entry-level Software Engineer, you’ll receive hands-on mentoring and support from experienced engineers and managers, who will help you apply and develop your skills. You’ll gain exposure to the full lifecycle of software engineering: Backend, Frontend and DevOps. You’ll also develop skills and expertise in working with AI research and machine learning.

At UnlikelyAI, you’ll have the rare opportunity to work directly with our proprietary neurosymbolic technology – combining Large Language Models with symbolic reasoning in ways that haven’t been done before. Unlike typical graduate roles where you might work on incremental features, here you’ll be contributing to fundamental research problems: how do we make AI systems that can explain their reasoning? How do we ensure reliability when dealing with critical financial and regulatory decisions? You’ll collaborate closely with our research team, gaining exposure to cutting‑edge AI techniques whilst building production systems used by major institutions like Lloyd’s Bank. This isn’t about fine-tuning existing models; we’re inventing entirely new approaches to trustworthy AI.

Required qualifications:

• Demonstrable capability at programming with Python
• A relevant degree in Computer Science, Mathematics or Engineering; we’re happy to consider other STEM degrees on a case-by-case basis
• Bias for action — you have a natural tendency to take the initiative and make decisions

Why Join Us?

• Team: We have a world‑class team of intelligent, focused, collaborative people. We're ambitious, move fast and have a lot of fun while doing it.
• Vision: We have a huge vision for the future. This offers a unique opportunity to work on the foundational layers of AI but, unlike many other companies, we're not just scaling LLMs, we're focused on a novel neurosymbolic approach.
• Tech: You’ll work with our novel and cutting‑edge tech. Driving this forward involves solving some exciting challenges, so our team has the freedom to be creative and explore innovative ideas in an environment where our technology is evolving and maturing.

Location: We are a hybrid working company, with three days in-office as our general expectation. Our Bloomsbury office is equidistant between Tottenham Court Road and Holborn stations.

Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.