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Faculty AI

Enterprise AI software and consulting services

Full Stack Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Possess solid backend development skills in Python frameworks such as FastAPI and be comfortable managing the full application lifecycle.
  • Have full-stack experience and exposure to TypeScript and modern frontend frameworks such as React or Vue.
  • Have experience deploying software within cloud environments such as AWS, Azure, or GCP; experience with containerisation tools such as Docker is desirable.
  • Demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with execution details.
  • Maintain a balance between rapid prototyping and long-term maintainability.
  • Take full ownership of problems in autonomous, fast-paced environments.

Responsibilities

  • Work in cross-functional teams alongside Data Scientists and Product Managers to deploy technically sophisticated, high-impact software.
  • Build reliable and scalable frontend and backend architectures to enable delivery of advanced AI systems.
  • Build data pipelines and cloud infrastructure as part of wider AI systems.
  • Provide deep technical expertise to customers and help them navigate complex requirements.

Desired Qualifications

  • Experience using containerisation tools such as Docker.

About the Company

Faculty AI

Enterprise AI software and consulting services

Faculty AI provides AI as a service that combines strategy, software and hands-on delivery to help organizations implement AI solutions across sectors such as government, healthcare, retail and energy. Its Frontier decision intelligence software helps clients simulate and understand cause‑and‑effect relationships, while Faculty supports data work, model development and deployment through consulting and engineering delivery. The company differentiates itself by offering end‑to‑end, enterprise‑scale AI implementations centered on decision intelligence, backed by a track record with high‑profile clients like the NHS, Red Bull, Virgin Media and Moonpig. Its goal is to help organizations become data‑driven by deploying scalable AI systems that improve efficiency, decision accuracy and operational performance, while expanding internationally.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$56.5M
Headquarters
London, United Kingdom
Founded
2014

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