AI Engineering Industry Mentor

Peopleworth; United States; A distancia; USD 90.000 - 150.000; Jornada completa

Descripción de la vacante

Peopleworth invites experienced AI engineers to join as Industry Mentor. You will connect advanced AI engineering practices with real-world applications, guiding learners on LLM-based system design, deployment, governance, and evaluation in industry contexts.

Responsibilities include facilitating online discussions, delivering three live sessions, and offering structured one-to-one coaching while avoiding direct grading. A flexible remote setup supports diverse learner paths.

Formación

• Experience building and operating LLM-based systems in production.
• Experience in roles like AI Engineer, Senior/Staff Software Engineer or Architect.
• Familiarity with responsible AI deployment, governance, auditability, bias assessment and regulations.
• Ability to explain complex concepts to diverse audiences.
• Experience with online learning environments is desirable.
• Master’s degree is desirable but not essential.

Responsabilidades

• Facilitate online community discussions linking weekly learning to real-world AI engineering practices.
• Design and deliver three 60-minute live industry sessions on practical topics.
• Provide structured 30-minute one-to-one sessions to guide learners on industry context and career direction.
• Share practical examples from building and operating LLM-based systems in production.
• Help learners understand pathways into AI engineering and portfolio credibility.
• Collaborate with delivery colleagues to address learner concerns and feedback.
• Connect technical topics to real workplace scenarios like RAG, retrieval design, and agent architectures.
• Adapt guidance for career changers and experienced coders.
• Maintain boundaries around academic assessment by avoiding grading or step-by-step task guidance.
• Contribute to a collaborative, fast-paced learning environment.
• Contribute current industry knowledge to developing AI engineering professionals.
• Offer flexible participation in remote learning.

Conocimientos

LLM systems

AI engineering

CI/CD

Testing

Monitoring

Governance

Retrieval design

RAG

Cost optimisation

Communication

Educación

Master's degree

Herramientas

LLM APIs

Function calling

Containerisation

Monitoring tools

Descripción del empleo

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

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.

• 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.

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.

• 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.

• 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.