AI Engineer

🔥 13 minutes ago

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The Citation Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1995

📋 Compliance

☁️ SaaS

👥 HR Tech

💰 Private equity on 2025-01

Compliance • SaaS • HR Tech

The Citation Group is a global compliance and workplace risk management company that helps businesses protect people, reputations, and the environment. It provides a mix of advisory services (HR and employment law, health & safety, certifications such as ISO/NDIS/SSIP), background screening, cybersecurity advice, and sustainability/waste management, alongside technology products — a compliance platform, e-learning, payroll and identity verification capabilities. The company operates across the UK, Australia, New Zealand and Canada, reports large-scale software usage and client counts, and has grown via acquisitions and investment to expand payroll, digital identity and HR technology offerings.

📋 Description

• Deploy, maintain and monitor AI tools and applications built by external partners. • Build and deploy lightweight POCs and automations using LLMs and API integrations. • Work with AWS services to deploy, configure, and troubleshoot AI tools and pipelines. • Support scale-out of existing tools across multiple brands and geographies. • Collaborate with data scientists, engineers, and non-technical stakeholders to bring AI tools to life. • Provide basic operational support and troubleshooting for deployed AI solutions. • Contribute to internal documentation and handovers, ensuring solutions are sustainable and well understood. • Communicate clearly with stakeholders and occasionally present updates or demos of AI tools.

🎯 Requirements

• Hands-on experience with AWS (ideally Cloud Practitioner level or higher). • Demonstrated knowledge of LLMs, prompt engineering, and modern AI deployment practices. • Experience deploying or managing AI tools in real-world settings. • Ability to work across build and operational contexts (not just R&D). • Strong communication skills — capable of explaining technical concepts to non-technical users. • Comfortable working in a fast-paced, pragmatic environment, often with evolving priorities. • A problem-solver who can self-start, spot opportunities, and ask “how can we make this better?”. • Nice-to-Haves: Experience with RAG pipelines, LLMOps, or model monitoring (e.g., drift/deprecation). • Familiarity with machine learning engineering or data engineering concepts. • Experience working with Salesforce, internal APIs, or microservices. • Knowledge of Databricks or interest in learning about the intersection of LLMs and data systems.

🏖️ Benefits

• 25 Days of Holiday + 8 Bank Holidays • Birthday Bliss: Your birthday isn’t just another day on the calendar; it’s YOUR day! • Post-Wedding Bliss: Newlyweds, we’ve got something special for you too! • Growing Families: We’re all about supporting our Citation family, and that includes expectant parents. • Healthcare cash plan: Your well-being is our priority.