Senior Software Engineer (London)

New Yesterday

Senior Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with classical symbolic technology to produce hallucination-resistant artificial intelligence for high-trust applications. To support our rapidly increasing commercial momentum, were looking for an experienced and pragmatic software engineer to join our exceptional team. This role is ideal for someone who has successfully taken products from prototype to production and enjoys collaborating directly with customers to understand their needs and shape impactful solutions. Youll work on a range of customer-facing and internal projects, applying your engineering skills to solve complex, often novel problems. Your ability to write clean, efficient code and your comfort in navigating ambiguity will be key as we continue to develop advanced reasoning capabilities in software systems. Youll collaborate closely with a multidisciplinary team of software engineers, research scientists, and language engineers in a highly cross-functional environment. This is a hands-on role with real-world impact, offering the chance to shape both our technology and the way it reaches users. Our ways of working may be different to what youre used to. We work in a highly dynamic way, rapidly delivering projects in a few weeks. We do not subscribe to many classical Agile working practices, and our teams regularly change to adapt to changing projects and business priorities. What were looking for We are looking for a senior software engineer with demonstrable experience running production systems. To thrive in this role, you: Excel across the stack or bring deep expertise in backend development, with strong computer science fundamentals and fluency in Python;
Should be comfortable taking ownership of complex systems in production, with a clear grasp of observability, monitoring, and performance tuning;
Champion developer-driven quality, write testable and maintainable code, and advocate for continuous improvement in engineering practices;
Are pragmatic, collaborative, and bring sound judgment to system design, reliability, and scaling challenges;
Will have a relevant degree (e.g. Computer Science, Mathematics, Engineering or similar);
Have a bias for action a natural tendency to take initiative and make decisions
Check out the role overview below If you are confident you have got the right skills and experience, apply today.
Why Join Us? 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. 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 neuro-symbolic approach. 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. Working at UnlikelyAI We offer a range of benefits and perks designed to support our team's wellbeing and work-life balance. We have a hybrid working arrangement, flexibly balancing working from home and office-based working
Our office is located in Bloomsbury, approximately a five minute walk to both Tottenham Court Road and Holborn stations
We provide free team lunches every Tuesday, Wednesday and Thursday
We schedule a variety of optional social and extra-curricular activities
We have an annual offsite, usually to an international location, where we can work and socialise in the sun
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.
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Location:
Greater London

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