AI Engineering Subject Matter Expert (Contract) na peopleworth

Description

At peopleworth, we support work where people and performance thrive. As part of our Employer Group, we work with a variety of forward-thinking partners and are excited to share this opportunity that sits within our growing group.

Role Overview
We are seeking an experienced AI Engineering Subject Matter Expert to lead the technical content design of a rigorous professional learning programme focused on production AI application engineering. This role focuses on defining, developing, and validating technical learning materials that reflect how modern AI systems are designed, deployed, evaluated, and governed in real-world environments.

The successful candidate will act as the practitioner authority for the programme’s technical scope, working closely with learning designers and academic contributors to ensure the curriculum reflects current industry standards and production-grade engineering practices.

Key Responsibilities
Develop technical source material for multiple 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 collaborative curriculum design sessions with academic contributors to refine programme scope, sequencing, and exit standards
Review learning materials throughout the development process 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 the design of production AI application architectures and engineering workflows
Contribute expert insights to live masterclass or knowledge-sharing sessions following programme launch
Advise on the practical realities of building and deploying production AI applications, including common failure modes and operational challenges
Support the development of content 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 related fields

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

Our Recruitment Process
The peopleworth Employer Group follows a fair, transparent, and multi-stage recruitment process designed to ensure mutual fit.

• Application Submission: Complete the online form and answer brief application questions.
• Initial Screening: Your application is reviewed for role alignment; successful candidates move to the longlist.
• Video Interview Stage: You’ll be invited to record short responses to 3–4 role-specific questions.
• Live Interviews: Shortlisted candidates join first-round interviews (and, where applicable, second or third rounds depending on the role).
• Final Shortlist & Verification: Reference and background checks are completed.
• Offer & Contracting: Successful candidates receive formal offers and contract documents.
• Pre-boarding & Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.
  

Throughout every stage, we value clear communication, respectful engagement, and timely feedback.