AI Engineer

An AI Engineer is required for our Government client to develop AI products, tools, workflows and technical components for use across Government for their government digital and data/Cyber profession.

To work with users to understand needs, gather feedback and improve solutions.

Contribute across the software and AI stack, including frontend, backend, databases, APIs, data pipelines, model integration, LLM workflows and deployment support.

Support end-to-end delivery, from understanding the problem and building prototypes through to testing, documentation, deployment and iteration.

Apply user feedback to improve products and ensure solutions are useful, accessible and aligned to operational needs.

Identify and raise quality, usability, data, security, accessibility or operational risks early.

As the AI Engineer you will possess knowledge of integrating and using applied AI systems with a demonstrated ability to build them effectively

Possess substantial experience of software engineering practices and be able to take it from concept to implementation and go through the whole lifecycle.

You will contribute on two to three immediate pieces of work/projects.

Essential Skills & Experience required:

As the AI Engineer you will possess the following:

Experience of building, testing and deploying software, data products or technical components in a real-world environment.

Experience working across parts of the software or AI stack, such as frontend, backend, databases, APIs, data pipelines, model integration or cloud deployment.

Experience supporting the development of solutions such as LLM workflows, predictive models, automation tools, scheduling tools, data pipelines or user-facing applications.

Experience across the stack (e.g Python, Wagtail, Typescript etc)

Experience of Product thinking and UX design skills

Experience in natural language prompt engineering to build internal and shareable agentic tools.

Ability to work and adapt in complex or ambiguous organisational contexts with strong collaboration skills, including the ability to work effectively in multidisciplinary teams.

End-to-end delivery, understanding the problem and building prototypes through to testing, documentation, deployment and iteration

Desirable would be any of the following:

Experience with LLM observability and evaluation tools like Langfuse

Cloud and infrastructure experience - (Terraform, AWS, Github etc)

Entrepreneurial or startup experience