openashbyhqphoenixcourt
Software Engineer
Faculty
LocationLondon
EmploymentFullTime
Posted2026-04-22T21:19:32.560+00:00
Last observed2026-06-13 05:24:20.750652
Job idphoenixcourt-faculty:ashbyhq:6c9b3973-b841-434f-8e77-f6078b364549
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE ROLE We're actively seeking skilled engineers to develop our cutting-edge product, Frontier https://faculty.ai/frontier. Working within the core Platform, this role will require a mix of backend services and cloud infrastructure related work to develop Frontier - our next generation Decision Intelligence AI platform. As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focused product, whilst leading the way in best technical practices. In this role, you'll be immersed in hands-on work, tackling complex real-world challenges using state-of-the-art technology. From optimising bed management in healthcare institutions to addressing logistics in the military and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights. You'll play a key role in building the product to ensure the scalability for seamless deployment to multiple customers, leveraging your expertise to build a resilient, scalable and robust platform, integrate with operational systems, and simplify deployment among our fleet of customer installations. Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence. WHAT YOU WILL BE DOING: - Collaborating with other Engineers in the team, developing and implementing AI-driven software solutions built on a modern, cloud native architecture. - Developing high quality, production-ready code primarily in Python - Making some contributions to our simulation engine, written in Rust. - Helping define and develop the architecture for the team’s deliverables. - Engaging in code reviews & pair programming with other engineers, directly impacting customer projects and outcomes. - Working in an Agile environment with cross-functional teams, including data scientists, project managers, and business stakeholders, to understand customer needs and translate them into technical requirements. WHAT WE ARE LOOKING FOR: - Proficiency in Python, and its use in building modern web applications using frameworks such as FastAPI. - A familiarity with Frontend technologies such Typescript or React - Knowledge of at least one IaC tool (Terraform/CDK, CloudFormation). - Experience with PostgreSQL, MySQL or other similar relational database technologies. - Knowledge of modern CI/CD pipelines (GitLab, GitHub or equivalent). - Strong understanding of system architecture and design. - Experience collaborating with Product Managers to ensure delightful customer experiences. - Expertise in Docker with deployment on Kubernetes preferred. - Any exposure to Rust would be a bonus. - A background in mathematics, and numerical simulations in particular, would be a bonus. The Interview Process 1. Talent Team Screen (30 minutes) 2. Pair Programming Interview (90 minutes) 3. System Design Interview (90 Minutes) 4. Principles Interview (60 minutes) OUR RECRUITMENT ETHOS We aim to grow
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