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AI Engineering Subject Matter Expert (Contract)

2 months ago
United Kingdom, Germany, South Africa
Contract
Lead
AI (Artificial Intelligence)
Software Development
CI/CD LLM
Apply Now

peopleworth

peopleworth describes itself as an HR and business-operations consultancy for small and medium-sized businesses. Services listed include HR, payroll, cybersecurity, business operations, mental health services, counselling/coaching, people & performance culture, and AI/automation enablement. They also say they support policy development, employee lifecycle support, compliance, and operational planning.

Human Resources Services
1-10
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Description

  • Develop technical source material for sequential learning modules, including code examples, system architecture references, case studies, assessment briefs, and worked solutions.
  • Collaborate with learning designers to translate curriculum frameworks into technically accurate and production-relevant learning content.
  • Participate in curriculum design sessions with academic contributors to refine programme scope, sequencing, and exit standards.
  • Review learning materials throughout development to ensure technical accuracy, credibility, and alignment with current industry practices.
  • Design summative assessments that reflect real-world AI engineering hiring and evaluation formats.
  • Provide practitioner insight into production AI application architectures and engineering workflows.
  • Contribute expert insights to live masterclass or knowledge-sharing sessions after programme launch.
  • Advise on the practical realities of building and deploying production AI applications, including failure modes and operational challenges.
  • Support content development covering evaluation methodologies, reliability patterns, governance considerations, and architectural decision-making for AI applications.

Requirements

  • Demonstrated experience building and deploying production AI systems powered by large language models in recent industry environments.
  • Strong software engineering foundations, including testing practices, CI/CD pipelines, observability, and reliability engineering approaches.
  • Practical experience implementing LLM-based application architectures, including API integrations, prompt strategies, and structured outputs.
  • Hands-on experience with retrieval-augmented generation pipelines, including embedding models, vector databases, hybrid search approaches, and retrieval evaluation.
  • Familiarity with agent-based architectures, including planning loops, memory strategies, tool integrations, and cost management patterns.
  • Experience designing evaluation frameworks for AI applications, including automated evaluation methods, regression testing approaches, and performance monitoring.
  • Understanding of responsible AI practices, including bias considerations, governance documentation, and auditability.
  • Experience mentoring engineers, hiring technical talent, or assessing engineering capability in AI-related roles.
  • Ability to collaborate effectively with technical and academic contributors on curriculum and learning design.
  • Professional experience demonstrating subject expertise equivalent to postgraduate-level knowledge in AI engineering or a related field.

Benefits

  • Collaborative, people-centred performance culture.
  • Opportunities to grow in a fast-paced environment.
  • Flexible remote working arrangements.
  • Opportunity to contribute expertise to the development of high-impact professional learning experiences.

Interested in this position?

Apply directly on the company website

Apply Now

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