Job Description
THE COMPANY Gatekeeper is a SaaS-based, next-generation Vendor & Contract Lifecycle Management platform. We help organisations reduce risk, improve compliance and maximise value. As part of our journey to becoming an AI-first company, we are embedding AI agents deeply into how Gatekeeper operates internally. These agents are not experiments; they actively support decision-making, approvals, reviews and operational workflows across the business. We’re hiring AI Platform Engineers to accelerate this transformation by working directly with teams to implement, integrate and maintain AI agents at scale. THE ROLE The AI Platform Engineer is a hands-on, execution-driven role focused on deploying AI into real business workflows. You will help shape our internal AI platform and agent frameworks and apply them inside the organisation. You will work closely with our Senior AI Platform Engineer, acting as the bridge between AI capability and day-to-day business execution. This role suits someone who is technical, pragmatic and product-minded. WHAT YOU’LL DO Implement and deploy AI agents into internal Gatekeeper workflows. Work directly with internal teams (Product, Marketing, Finance, Sales, Account Management, Operations, Professional Services) to understand processes and identify high-impact AI use cases. Configure agent behaviour through prompts across different tools, rules and guardrails. Integrate AI agents with existing systems, data sources and internal tools via APIs, webhooks and integrations. Use Python for orchestration, data handling, light automation and evaluation. Test, iterate and refine AI agents based on real usage and feedback. Monitor deployed agents for accuracy, reliability and business impact, escalating issues where deeper platform changes are needed. Collaborate with the Senior AI Platform Engineer on agent standards, tooling, observability, governance and ROI. Document implementations and help establish repeatable internal AI deployment patterns.