Software Engineer

Software Engineer (Full Stack)

Rate: 675 per day (Inside IR35)

Contract Length: 6 Months (with potential extension)

Location: London (Hybrid - typically 2 days per week onsite)

Clearance: Active or transferable SC Clearance preferred.

Overview
We are seeking an experienced Software Engineer to join a growing multidisciplinary team delivering innovative AI-enabled products within a government-focused environment. This is a hands-on engineering role suited to candidates with strong full-stack development experience who are comfortable working across the entire software lifecycle, from product development through to infrastructure and deployment.
The successful candidate will work within a collaborative team of engineers, AI specialists, product professionals and user-centred design experts, helping to build and scale a modern platform that leverages large language models (LLMs) and advanced AI capabilities.

Key Responsibilities
Build, enhance and maintain a full-stack application using Next.js, React and TypeScript.
Develop and optimise backend services and data models using PostgreSQL and Prisma.
Work closely with AI engineers and evaluation teams to translate data labelling methodologies into scalable product functionality.
Design and implement annotation workflows, task allocation systems and evaluation tooling.
Integrate and orchestrate multiple LLM providers and AI APIs.
Own and maintain cloud infrastructure and deployment pipelines.
Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud SQL.
Build and maintain CI/CD pipelines using GitHub Actions and Docker.
Collaborate effectively with cross-functional teams including product managers, designers, researchers and engineers.
Contribute to technical decision-making and help shape future phases of the platform.

Essential Skills & Experience
Minimum 5 years' experience in full-stack software engineering.
Strong commercial experience with:
o TypeScript
o Next.js
o React
o PostgreSQL
o Prisma ORM
Experience working with cloud platforms and infrastructure-as-code.
Hands-on experience with:
o Google Cloud Platform (GCP)
o Terraform
o Docker
o GitHub Actions / CI/CD pipelines
Experience integrating and building solutions using LLMs, AI APIs or AI-assisted development tools.
Strong understanding of modern software engineering practices and deployment processes.
Comfortable working in agile, cross-functional environments.
Ability to work independently, take ownership and navigate ambiguity.

Desired Experience
Experience delivering software within UK Government, Civil Service or public sector environments.
Interest in AI safety, AI evaluation methodologies or educational technology.
Experience working closely with data science, AI or machine learning teams.
Exposure to modern AI engineering practices and frontier AI models.

Qualifications
Undergraduate degree in a STEM discipline or equivalent commercial experience.