Summary: Join Coding Temple as an AI Engineering Instructor to shape the future of AI talent through teaching, mentoring, and guiding learners in building real-world AI products. Highlights: 1. Shape the future of AI talent by teaching and mentoring 2. Work with a modern, production-focused AI curriculum 3. Collaborate with a values-driven team committed to excellence **Calling All AI Engineering Experts – Help Shape the Future of AI Talent!** Are you a passionate AI engineer who loves teaching, mentoring, and helping others build real products? Coding Temple – a mission\-driven tech education provider focused on career transformation and closing the talent gap – is expanding our AI Engineering Instructor Bench, and we’re looking for exceptional humans to join us. We’re building a **best\-in\-class team of instructors and mentors** with deep knowledge in: * Generative AI and LLM\-based systems (OpenAI APIs or similar) * LLM architecture, failure modes, and safe usage in production * Prompt engineering for real\-world use, not just demos * RAG: embeddings, vector databases, and retrieval quality * Building and deploying RAG workflows (LangChain or similar frameworks) * LLM agents, tool use, and external APIs * Multi\-agent systems and orchestration (e.g., LangGraph) * LLMOps / MLOps: deployment, monitoring, evaluation, and continuous improvement * Python for AI/ML engineering * Cloud environments and production constraints (latency, cost, reliability) **Bonus**: Experience with teaching, mentoring, bootcamps, or developer advocacy. **Your Responsibilities** Deliver Live Sessions * Run engaging virtual classes on AI engineering and intelligent agents, following Coding Temple’s AI Bootcamp curriculum. * Lead live coding, system design walkthroughs, and project reviews that mirror real industry work. Support Student Success * Guide and mentor learners through their AI engineering journey. * Help learners understand not just *how* tools work, but *why* decisions are made under production constraints. * Hold office hours, answer technical questions, and unblock students on projects. Review Work * Grade assignments and projects using a structured rubric focused on functionality, impact, and reliability. * Provide clear, actionable feedback on system design, code quality, and evaluation metrics. * Help students turn their projects into portfolio\-ready, employer\-trusted proof of capability. Inspire Confidence * Motivate learners from diverse backgrounds to gain real, job\-ready AI skills. * Model professionalism, communication, and collaborative engineering practices. * Help students learn to explain their work the way hiring managers expect. **Why Coding Temple?** We don’t just teach tech — we transform lives. Our programs are designed around what actually matters in today’s market:real capability, real projects, and real outcomes. As part of our expert bench, you’ll: * Teach from a modern, production\-focused AI curriculum. * Work with motivated, career\-changing learners. * Join a collaborative, values\-driven team committed to excellence and access in tech education. **Role Details** Job Types: Full\-time, Part\-timeSchedule: * Daytime / Evening shifts (CST) * Weekends as needed for special sessions, office hours, or project reviews Experience: * Industry: 3 years in AI/ML/Software (Must\-have) * Teaching / mentoring: 1 year (Preferred) Work Location: Remote **Ready to Make Your Impact?** Join us in building the AI engineers of tomorrow — one student, one cohort, one production system at a time. To apply, please include: * Your resume \& LinkedIn profile * A brief note about your experience with LLMs, RAG, and/or agents * Any teaching, mentoring, or public content (talks, workshops, repos, blog posts, etc.) you’d like to share Job Types: Full\-time, Part\-time Pay: From $21,633\.00 per hour Expected hours: 10 – 40 per week Experience: * AI/ML: 3 years (Preferred) Work Location: Remote