peopleworth
peopleworth
peopleworth inson resurslari, HR texnologiyalari va ish joyidagi farovonlik kesishmasida faoliyat yurituvchi B2B konsalting kompaniyasidir. U kichik va o‘rta bizneslarga HR va ish haqi boshqaruvi, korporativ madaniyat va samaradorlik dasturlari, maslahat va kouching, mehnat talablariga muvofiqlik bo‘yicha yo‘l-yo‘riq, kiberxavfsizlik ko‘magi hamda peopleworth Employer Group orqali taqdim etiladigan operatsion vositalar yordamida xodimlar bilan ishlash jarayonlarini kuchaytirishga yordam beradi. Kompaniya tashkilotlarga samaradorlikni oshirish, ish joyiga oid majburiyatlarni bajarish va o‘sish jarayonida xodimlar farovonligini qo‘llab-quvvatlashga ko‘maklashishga e’tibor qaratadi.

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.

Tavsif

  • 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.

Talablar

  • 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.

Imtiyozlar

  • 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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