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About the Role
As a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients. This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation.
Responsibilities
- Working in cross-functional teams, alongside Data Scientists and Product Managers, to deploy technically sophisticated, high-impact software.
- Building reliable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.
- Building data pipelines and cloud infrastructure as part of wider AI systems.
- Providing deep technical expertise to customers, helping them navigate complex requirements.
Requirements
- Solid backend development skills in Python frameworks (such as FastAPI) and comfortable managing the full application lifecycle.
- Full-stack experience and exposure to TypeScript and modern frontend frameworks like React or Vue.
- Experience deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker.
- Demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution.
- Know how to maintain a balance between rapid prototyping and long-term maintainability.
- Thrive in autonomous, fast-paced environments where you can take full ownership of problems.
- Compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies.
- Eligible for UK Security Clearance (SC) and willing to work on site with clients from time to time.
Skills
- Python
- FastAPI
- TypeScript
- React
- Vue
- AWS
- Azure
- GCP
- Docker
Location
- On site with clients from time to time
Work Type
- Full-time
- Part-time
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that drives significant impact.
- Faculty possesses unparalleled technical, product, and delivery expertise.
- Faculty serves clients across government, finance, retail, energy, life sciences, and defense sectors.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement powerful AI applications.
- The Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.
- The Public Services Business Unit works on projects informing strategic government decisions, optimizing the NHS, and reducing bureaucratic backlogs.
- The Public Services Business Unit leads impactful work in the government sector.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Faculty believes diverse teams deliver better work that is relevant to the world.
- Faculty is united by a deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Faculty strongly encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Faculty encourages applications even if not all requirements are met, especially if key strengths are brought.
- Faculty is open to conversations about part-time hours.
- Faculty permits the use of AI for research and interview preparation but not for generating answers during live interviews.
- Faculty uses an AI note-taker (Metaview) in interviews, with an option to opt out.
- Every application is reviewed by a human, never decided by AI.