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peopleworth
peopleworth
1 – 10 Employees
ConsultingHR TechWellness
peopleworth is a B2B consulting firm working at the intersection of human resources, HR technology, and workplace wellness. It helps small and medium-sized businesses strengthen people operations through HR and payroll management, culture and performance programs, counselling and coaching, compliance guidance, cybersecurity support, and operational tools delivered through its peopleworth Employer Group. The company focuses on helping organizations improve efficiency, meet workplace obligations, and support employee wellbeing as they grow.
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AI Engineering Mentor - Remote United Kingdom

Mentor learners in production LLM systems, responsible AI, and practical engineering through live sessions, community discussions, and individual guidance. Help participants connect AI engineering concepts with workplace practice and career development.

GBUnited KingdomZASouth AfricaRemoteContractMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer

Description

  • Lead online community discussions that connect weekly learning and project work with real-world AI engineering practice.
  • Plan and deliver three 60-minute live sessions on applying technical learning in industry contexts.
  • Run structured 30-minute one-to-one sessions focused on industry insight and career direction.
  • Share practical lessons from developing and operating LLM-based systems in production.
  • Help learners understand pathways into AI engineering, employer expectations, portfolio quality, and professional engineering standards.
  • Work with delivery colleagues to raise learner concerns, exchange feedback, and inform programme content and engagement practices.
  • Show how RAG, retrieval design, agent architectures, evaluation, monitoring, responsible AI, and production engineering apply to workplace scenarios.
  • Tailor support for career changers, experienced programmers, and practising software engineers with varied starting points.
  • Respect academic assessment boundaries by not grading, directly correcting assessed work, or providing step-by-step help with assessed tasks.

Requirements

  • Professional software engineering experience with hands-on responsibility for building and operating LLM-based systems in production.
  • Current experience in a role such as AI Engineer, AI Application Engineer, Senior or Staff Software Engineer, Machine Learning Engineer, Technical Lead, Principal Engineer, Architect, or AI Engineering Consultant.
  • Practical knowledge of LLM APIs, function calling, RAG, retrieval design, agent architectures, evaluation methods, and cost or latency optimisation.
  • Strong production engineering foundations, including testing, CI/CD, containerisation, monitoring, and incident response.
  • Practical understanding of responsible AI deployment, including governance, auditability, bias assessment, human oversight, and regulatory considerations.
  • Experience using AI-assisted software development tools, including awareness of common failure modes and methods for validating generated code.
  • Ability to explain complex technical ideas clearly to people with different levels of technical experience.
  • Strong communication, facilitation, mentoring, and relationship-building skills, with the judgement to guide learners through uncertainty without being overly prescriptive.
  • Comfort using online learning and communication platforms.
  • Teaching, mentoring, facilitation, or online learning experience is desirable.
  • A master's degree is desirable but not required.

Benefits

  • A collaborative, people-focused performance culture.
  • Opportunities for growth in a fast-paced environment.
  • The chance to apply current industry knowledge to developing emerging AI engineering professionals.
  • Flexible participation in a remote learning environment, subject to the role's requirements.

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