Applied AI Engineer

The role

You will build, administer, and improve AI-enabled systems and SaaS platforms. You will work within the Applied AI team to develop agentic AI workflows, automation pipelines, and integrations.

What you will do

• Administer and improve SaaS platforms and AI-enabled services.
• Build and maintain applied and agentic AI workflows and automation pipelines.
• Use Google ADK or similar frameworks to build, test and iterate on tool-using agents.
• Monitor service health, usage, cost and performance.
• Lead testing, evaluation and incident triage.
• Partner with product, engineering, security, vendors and business teams.
• Document configurations, dependencies and runbooks.

Required qualifications

• Experience administering cloud-based business systems including configuration, user access, environments, integrations, release management and vendor support.
• Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation.
• Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines.
• Familiarity with cloud environments, CI/CD, observability, incident management and secure operational practices.

Nice to have

• Familiarity with Google ADK or similar frameworks is desirable.
• Preferably Google Cloud Platform

Benefits

• Company pension contributions at 5%
• Individualised training budget
• Discounted holidays for you, your family and friends
• 25 days of holidays per annum plus 8 public holidays
• Holiday increases by 1 day for every second year of service, up to a maximum 30 days per annum
• Ability to buy and sell annual leave
• Cycle to work scheme
• Season ticket loan
• Eye care vouchers

Before you apply

• Intro with a member of the Talent Acquisition team
• 1st stage video interview with Lead Applied AI Engineer
• Applied AI and SaaS administration task
• Final stage with Director of Applied AI and senior stakeholders

About the company

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