AI Engineer

🔥 10 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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.