AI Engineering Mentor

🔥 1 minute ago

🌐 United Kingdom, South Africa – Remote

🇬🇧 United Kingdom – Remote 🇿🇦 South Africa – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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peopleworth

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

👥 HR Tech

🧘 Wellness

Consulting • HR Tech • Wellness

peopleworth is a B2B consultancy that helps small and medium-sized businesses improve human capital, payroll, business operations, cybersecurity, and workplace mental health. The firm offers strategic HR and payroll management, culture and performance development, counselling and coaching, compliance and policy support, and scalable operational tools through its peopleworth Employer Group to boost efficiency, compliance, and employee wellbeing.

📋 Description

• Facilitate online community discussions connecting weekly technical learning and build activities to real-world AI engineering practice. • Design and deliver three 60-minute live industry sessions focused on practical application of learning topics. • Provide structured 30-minute one-to-one sessions supporting learners with industry context and career direction. • Share practical examples and lessons from building and operating LLM-based systems in production environments. • Support learners in understanding routes into AI engineering, employer expectations, portfolio credibility, and professional engineering practice. • Collaborate with delivery colleagues to flag learner concerns, share feedback, and contribute observations on programme content and learner engagement. • Help learners connect RAG, retrieval design, agent architectures, evaluation, monitoring, responsible AI, and production engineering to workplace scenarios. • Adapt guidance to learners with different starting points, including career changers, experienced coders, and practising software engineers. • Maintain boundaries around academic assessment by avoiding grading, direct correction of assessed work, or step-by-step guidance on assessed tasks.

🎯 Requirements

• Demonstrated professional software engineering experience with hands-on involvement in building and operating LLM-based systems in production. • Current professional 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 experience with LLM APIs, function calling, RAG, retrieval design, agent architectures, evaluation approaches, and cost or latency optimisation. • Strong production engineering fundamentals, including testing, CI/CD, containerisation, monitoring, and incident response. • Working knowledge of responsible AI in practical deployment environments, including governance, auditability, bias assessment, human oversight, and regulatory considerations. • Experience with AI-assisted software development, including an understanding of common failure modes and approaches for verifying AI-generated code. • Demonstrated ability to explain complex technical concepts 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 rather than provide overly prescriptive answers. • Comfort working with online learning and communication technologies. • Previous teaching, mentoring, facilitation, or online learning experience is desirable. • A master's degree is desirable but not essential.

🏖️ Benefits

• Collaborative, people-centred performance culture. • Opportunities to grow in a fast-paced environment. • Opportunity to contribute current industry knowledge to the development of emerging AI engineering professionals. • Flexible participation in a remote learning environment, subject to the requirements of the role.