Senior Full Stack Software Engineer

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 . 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 team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. About the role As a Senior Full Stack Software Engineer, you will be a technical anchor within our Professional & Financial Services team, leading the development of sophisticated platforms that visualise complex data science insights and bridging the gap between AI research and production-grade software. You will have the autonomy to own the entire technical stack, driving architectural decisions and mentoring others to ensure we ship scalable, high-performance systems that transform how our customers interact with Machine Learning. What you'll be doing: Leading the architecture and design of complex projects to ensure they are robust, scalable, and aligned with long-term business needs. Creating reliable, reusable, and high-performance frontend and backend systems that facilitate the seamless delivery of AI-powered insights. Guiding engineers within cross-functional teams of Data Scientists and Product Managers to deliver technically sophisticated, high-impact systems. Mentoring and managing more junior engineers on the team, fostering a culture of technical excellence and continuous professional growth. Acting as the primary authority for engineering across the full stack, setting the standard for code quality and best practices. Providing deep technical expertise to our customers, translating their most unique business challenges into viable, production-ready software solutions. Balancing rapid prototyping with the requirement to ship and maintain large-scale products in a dynamic, fast-paced environment. Who we're looking for: You possess deep technical mastery in TypeScript and modern frontend frameworks like React or Vue, alongside significant experience in backend Python or TypeScript ecosystems. You have a proven track record of leading the architecture of complex software projects and deploying them successfully into cloud environments like AWS, Azure, or GCP. You bring extensive experience with containerisation and infrastructure-as-code, including tools like Docker, Kubernetes, or Terraform, to ensure reliable software delivery. You are an expert problem-solver who can debug complex, full-stack issues and maintain high standards for testing using frameworks like Jest or Cypress. You thrive on autonomy and ownership, with the entrepreneurial drive to take a vague problem statement through to a polished, high-impact execution. You are a compelling collaborator and mentor who can effectively communicate technical strategy to both internal multidisciplinary teams and external high-level stakeholders.. Our Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.