peopleworth
AI Engineering Industry Mentor
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role Overview
This opportunity is for a practising AI engineering professional to bring current industry experience into a career-focused learning environment. The role supports learners developing production-ready AI engineering capability, with a particular focus on LLM-based application engineering, real-world engineering practice, career development, and industry context.
The Industry Mentor works alongside academic tutors while maintaining a distinct remit. Academic teaching, assessment, grading, and academic standards sit outside this role. The mentor focuses on connecting technical learning to how AI systems are built, operated, evaluated, governed, and hired for in industry today.
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
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Facilitate online community discussions that connect weekly technical learning and build activities to real-world AI engineering practice
- Design and deliver three 60-minute live industry sessions focused on the practical application of topics covered in the learning content
- Provide structured 30-minute one-to-one sessions, through an agreed booking process, to support 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 relevant delivery colleagues to flag learner concerns, share learner feedback, and contribute observations on programme content and learner engagement
- Help learners connect technical topics including RAG, retrieval design, agent architectures, evaluation, monitoring, responsible AI, and production engineering to real workplace scenarios
- Adapt industry guidance to learners entering from different starting points, including career changers, experienced coders, and practising software engineers
- Maintain clear boundaries around academic assessment by avoiding grading, direct correction of assessed work, or step-by-step guidance on completing assessed tasks
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
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
- 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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location