Software Engineer

We’re a fast growing AI startup on a mission to help midmarket businesses transform how work gets done.

We’ve built a factory for custom operations agents. The factory builds Virtual Agents: software workers with AI reasoning that complete complex workflows end-to-end, directly in customer tools. There’s no tech integration, process change or upfront cost. Onboarding is white-glove, takes a matter of days, and customers pay only for delivered value.

This makes Virtual Agents the lowest risk way to automate complex manual work. And it makes Unitary the first company delivering Fortune 500-grade AI deployment with the unit economics of software - enabling us to reach the midmarket at scale.

Today we’re focused on commercial insurance, marketplaces and primary healthcare. But the potential for Virtual Agents goes far beyond.

We closed $15M Series A funding in 2024, and we’re backed by some leading names in AI (Plural and Creandum). We’re working with world-class clients such as Substack, Trustpilot, Depop, Sony Interactive Entertainment, and many more.

This is an exciting opportunity to join a well-funded startup at a crucial stage of growth, and to play a significant part in turning frontier AI technology into real world value.

The role

As a Senior Software Engineer you will:

1. Bring new products to market

• We’ve been able to grow our revenues aggressively by combining a service and product offering to our customers. We now want to productise this offering as much as we can. We will need to bring new products to market, you will be at the forefront of this.

1. Re-imagine and refactor our existing services and tooling into a new generation of capabilities

• Our current toolset has helped us grow from 0 to 25 clients in the past 18 months. We are now finding that these services and tools will not scale far beyond this point in their current form. We need them to be re-imagined, in light of our learnings from our pathfinder clients, into robust capabilities that can match the growth of our business.

1. Bridge our Machine Learning, Product and Platform Engineering capabilities

• We have an extremely talented pool of full-stack machine learning and MLOps engineers and an exceptional platform engineering team. We need software ‘glue’ expertise and capability to bring these two things together optimally. With our other software engineers, you will be this glue.

The role will report to a Staff Engineer and can be based in the UK or alternatively anywhere within 3 hours of the UK timezone.

As part of this role, you will:

• Work closely with our operations engineering lead and customer success team to establish priorities across multiple customers and ensure operational excellence.