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 Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing.

To meet the demands of our increasing commercial traction, we are looking for a smart, dedicated senior software engineer to join our world-class team. We are looking for someone who thrives on diving deep into code, to solve challenging and novel problems. You will have extensive software engineering experience, with exceptional coding ability ideally including experience in high-growth start-ups.

This role will play a major role in developing our core capabilities, including working on how computers reason. You will work closely with other software engineers, research engineers and applied scientists in a heavily cross-functional environment.

Required

• Exceptional coding ability in at least one of our core languages : Java / Kotlin or Python.
• Previous experience working with complex algorithms and data structures.
• Experience in building well-tested code for production and a demonstrable history of advocating for software quality and evangelising best practices.
• Experience with leading the process from ideation to production for brand new software systems.
• Relevant degree : Computer Science, Mathematics, Engineering, STEM.
• Bias for action—able to move quickly and make informed decisions.
• Experience working with cloud computing (AWS preferred, but any provider is fine).

Why Join Us?

Location :

We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.

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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