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Overview Unitary's purpose is to make the internet safer in order to improve lives and create a fairer world. We are a rapidly growing start-up developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions.
We have raised about $25M in VC funding from top-tier funds, including Creandum and Plural, and operate at a significant scale - analysing millions of images and videos daily from the world's largest platforms. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond!
Role The company
Senior/Staff Engineer
The role reports to a Staff Engineer and can be based in the UK or anywhere within 3 hours of the UK timezone.
Responsibilities
Re-imagine and refactor our existing services and tooling. Our current toolset has helped us grow from 0 to approximately 10 clients in the past 8 months. We need them to scale beyond this point by re-imagining them into robust capabilities that match our growth, guided by learnings from pathfinder clients.
Deliver software as part of onboarding new clients and use cases. Work in a customer-focused team alongside Machine Learning Engineers who are developing the Agent AI needed to operate client processes.
Establish design patterns and approaches that others can follow. Set design patterns befitting our evolving business proposition and enable lean architecture governance.
Bridge our Machine Learning and Platform Engineering capabilities. Act as software glue to bring together our ML/MLOps engineers and platform engineers.
Contribute to a new generation of tools and services for building AI Agents to support growth to 30+ clients.
Requirements You
We are looking for someone who is as excited about Unitary's mission as we are, who wants to have a large impact at an early-stage start-up, and be a key part of defining Unitary's future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company.
Have expert Python development experience
Can venture into Data Engineering, MLOps and/or Platform Engineering
Can demonstrate a track record of delivering solutions in the areas mentioned above
Possess strong skills in creating and managing containerised microservices running on Kubernetes
Are an advocate of software best practices, standards, and culture
Are still actively developing hands-on and want to do so for at least the next 12 months
Are knowledgeable about event-driven architectures
Have a DevOps mindset and the skills to apply it using cloud platforms
Have basic knowledge of Go (back-end services in Go)
Have experience using AI-assisted code development tools (e.g. Cursor)
Understanding of machine learning principles
It would be even better, but not essential, if you:
Have worked in a start-up before
Are confident using AWS
Benefits Working at Unitary
Flexible hours and location
Competitive salary and equity package
Occupational pension
Generous paid parental leave
Generous paid sick leave
Annual budget for your professional development and growth
Annual budget for your individual health and wellness
Three team offsites to London or other exciting destinations in Europe
About us
The team
Unitary is a remote-first team of 20+ people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self-leadership.
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