{"id":1464777,"url":"https://alion.io/job/fullstack-academy-instructor-advanced-genai","title":"Instructor - Advanced GenAI","company":{"id":17956,"name":"Fullstack Academy","domain":"fullstackacademy.com","url":"https://alion.io/company/fullstack-academy","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"C","score":58,"open_postings":20,"ghost_share":0.7,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Education","role_family":"Education","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":123000,"period":"year","method":"role_country_seniority_unknown","sample_n":1064},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tool Use","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-29T14:24:37Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-03T23:41:32Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":3},"description":"About Us\nSimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialised training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, artificial intelligence, cybersecurity, product management, and more-skills that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2,000 corporate training organisations across 150 countries have harnessed our award-winning programmes to achieve their career and business goals.\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally.\nPosition Overview\nThe Online Trainer - Advanced Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our advanced Generative AI programmes.\nThe trainer will facilitate live online training sessions covering Generative AI, Large Language Models, Prompt Engineering, RAG, LLM Applications, AI APIs, Multimodal AI, AI-powered automation, and emerging Generative AI technologies.\nThis role involves explaining advanced Generative AI concepts, demonstrating practical applications of LLMs and AI tools, conducting hands-on demonstrations using modern GenAI platforms and frameworks, and connecting technical concepts with real-world business applications.\nThe ideal candidate should have strong hands-on experience building or implementing LLM-powered applications, RAG pipelines, AI-powered solutions, prompt engineering workflows, multimodal AI applications, AI automation solutions, and enterprise Generative AI use cases.\nClasses are delivered 100% online in a synchronous, instructor-led format.\nKey Responsibilities\nDeliver live online instructor-led training sessions covering Advanced Generative AI, Large Language Models, Prompt Engineering, RAG, AI APIs, LLM applications, and AI-powered automation.\nCover advanced Generative AI topics including:\nGenerative AI fundamentals and evolution\nLarge Language Models and LLM architectures\nFoundation models and modern LLMs\nPrompt Engineering and advanced prompting techniques\nStructured prompting and prompt optimisation\nSystem prompts and instruction design\nRetrieval-Augmented Generation (RAG)\nEmbeddings and semantic search\nVector databases and knowledge retrieval\nLLM context windows and context management\nFunction calling and tool integration\nLLM APIs and application development\nLLM orchestration\nFine-tuning and model customisation\nModel evaluation and output quality\nHallucination mitigation and factuality\nMultimodal Generative AI\nText, image, audio, and video generation\nAI-powered workflow automation\nGenerative AI applications in enterprise environments\nAI coding assistants and developer productivity tools\nResponsible AI, security, privacy, bias, and governance\nEmerging Generative AI technologies and industry trends\nPrepare and continuously update:\nTraining presentations\nLearning materials\nPractical exercises\nHands-on activities\nGenerative AI demonstrations\nPrompt Engineering exercises\nLLM application demonstrations\nRAG demonstrations\nReal-world business case studies\nTemplates and reference materials\nConduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations.\nConduct practical demonstrations using modern Generative AI platforms, frameworks, and tools such as:\nChatGPT\nClaude\nGemini\nMicrosoft Copilot\nOpenAI APIs\nAnthropic APIs\nGoogle Gemini APIs\nHugging Face\nLangChain\nLangGraph\nLlamaIndex\nVector databases\nRAG frameworks\nAI coding assistants such as GitHub Copilot, Cursor, Claude Code, or similar tools\nWorkflow automation platforms\nGuide learners through real-world Generative AI scenarios using practical business and industry examples.\nDemonstrate how Generative AI can be used to generate, analyse, transform, summarise, and interact with text, documents, images, audio, video, code, and enterprise data.\nDemonstrate how LLM applications can be integrated with external data sources, APIs, databases, enterprise systems, and business workflows.\nSupport learners in developing practical skills for designing, building, evaluating, and implementing Generative AI solutions.\nMaintain high learner engagement and instructional quality throughout all sessions.\nStay updated with current Generative AI developments, foundation models, LLM technologies, AI tools, frameworks, multimodal AI capabilities, and emerging industry trends.\nCollaborate with internal curriculum teams to continuously improve training content and learner outcomes.\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field.\n10+ years of professional experience in Artificial Intelligence, Generative AI, Machine Learning, Data Science, Software Engineering, or related domains.\nStrong hands-on experience designing, developing, implementing, or deploying Generative AI and LLM-powered applications.\nPrior experience delivering online instructor-led training for professionals or adult learners.\nDemonstrated expertise in Generative AI, Large Language Models, Prompt Engineering, RAG, AI APIs, and LLM application development.\nStrong understanding of:\nGenerative AI and foundation models\nLarge Language Models\nLLM architectures and capabilities\nPrompt Engineering\nAdvanced prompting techniques\nRAG architectures\nEmbeddings and vector databases\nSemantic search and knowledge retrieval\nFunction calling and tool integration\nLLM APIs and integrations\nLLM orchestration\nContext management\nFine-tuning and model customisation\nLLM evaluation and performance optimisation\nHallucination mitigation\nMultimodal Generative AI\nAI-powered automation\nResponsible AI, security, privacy, bias, and governance\nHands-on experience with Generative AI frameworks and platforms such as OpenAI, Claude, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar technologies.\nStrong understanding of AI APIs, LLM integration, and enterprise Generative AI applications.\nExcellent communication, presentation, and facilitation skills.\nRequired Skills\nStrong hands-on expertise in Advanced Generative AI and LLM application development.\nStrong instructional and learner engagement abilities.\nAbility to simplify complex Generative AI and LLM concepts through practical examples and demonstrations.\nExperience building or demonstrating LLM-powered applications, RAG solutions, AI automation workflows, or Generative AI solutions.\nExperience with platforms and frameworks such as OpenAI, Claude, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar technologies.\nStrong understanding of Prompt Engineering, RAG, embeddings, vector databases, tool calling, function calling, and LLM orchestration.\nAbility to explain LLM capabilities, limitations, context management, evaluation, and optimisation.\nStrong understanding of Generative AI, Artificial Intelligence, Machine Learning, and modern AI technologies.\nExcellent communication and storytelling skills.\nExperience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms.\nStrong learner engagement, facilitation, and Q&A management skills.\nAbility to conduct interactive, activity-driven learning experiences.\nAbility to connect Generative AI concepts with real-world business use cases.\nPreferred Skills\nExperience training professionals, working professionals, or adult learners in Advanced Generative AI, LLMs, or AI applications.\nExperience creating Generative AI training content, exercises, demonstrations, or case studies.\nHands-on experience developing production-grade LLM applications or enterprise Generative AI solutions.\nExperience implementing RAG pipelines, vector databases, embeddings, and knowledge retrieval systems.\nExperience integrating LLMs with external APIs, databases, enterprise applications, and business systems.\nExperience with multimodal Generative AI applications.\nExperience with AI-powered automation and workflow orchestration.\nExperience using AI coding assistants such as GitHub Copilot, Cursor, Claude Code, or similar tools.\nExperience with Python and AI development environments.\nFamiliarity with current and emerging foundation models and Generative AI platforms.\nExperience demonstrating Generative AI use cases across different business functions.\nStrong understanding of responsible AI, AI ethics, security, privacy, bias, and governance.\nKey Competencies\nStrong instructional and facilitation skills.\nExcellent Generative AI, LLM, and AI application expertise.\nStrong hands-on understanding of Generative AI technologies and LLM-powered applications.\nAbility to explain complex technical concepts clearly using practical examples.\nStrong understanding of LLMs, Prompt Engineering, RAG, embeddings, vector databases, APIs, and multimodal AI.\nProfessional virtual presence.\nAnalytical thinking and structured problem-solving.\nStrong learner engagement and mentoring mindset.\nExcellent communication and presentation abilities.\nAbility to demonstrate practical and business-focused Generative AI applications.\nPassion for developing Generative AI capabilities among professionals and learners.\nStudent Support & Mentorship\nProvide individualised learner support during live training sessions and scheduled office hours.\nMaintain regular communication regarding learner progress, training expectations, and skill development.\nRespond promptly and professionally to learner and internal team communications.\nProvide timely, constructive feedback on practical exercises, activities, and learning assessments.\nSupport learners in applying Generative AI, LLM, Prompt Engineering, RAG, and AI application development concepts to practical business scenarios.\nHelp learners design and experiment with LLM applications, RAG solutions, AI-powered workflows, and Generative AI use cases through guided practice and hands-on demonstrations.\nPerformance Monitoring\nEvaluate learner progress based on participation, knowledge checks, practical exercises, and hands-on activities.\nMaintain accurate records of learner engagement and performance.\nIdentify learners requiring additional support and collaborate with internal teams to improve learning outcomes.\nContribute to continuous improvement initiatives for training quality and learner success.\nCollaboration & Professional Conduct\nAdhere to institutional policies and instructional standards.\nFoster an inclusive, collaborative, and professional learning environment.\nServe as a mentor and industry role model for learners developing their Generative AI and LLM skills.\nCollaborate with instructional staff and curriculum teams to enhance learner experience and training effectiveness.\nRepresent Simplilearn professionally when interacting with learners, staff, and external stakeholders.\nWork Schedule\nPart-Time instructors typically work 8-12 hours per week, depending on training schedules.\nEach training session is approximately 3 hours in duration.\nSessions are delivered live in a fully online format.\nFlexibility for evening and weekend availability is preferred based on learner cohort schedules.\nCompensation\nThe anticipated compensation for this position is $80 per hour, depending on qualifications, experience, and alignment with programme requirements.\nCandidates with exceptional Generative AI expertise, strong hands-on LLM application development experience, extensive industry experience, or strong instructional experience are encouraged to apply.\nThis position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal, sta...","description_format":"text","description_chars":12527,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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