Instructor - Advanced GenAI at Fullstack Academy | chakrie

Requirements

Additional Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field.
10+ years of professional experience in Artificial Intelligence, Generative AI, Machine Learning, Data Science, Software Engineering, or related domains.
Strong hands-on experience designing, developing, implementing, or deploying Generative AI and LLM-powered applications.
Prior experience delivering online instructor-led training for professionals or adult learners.
Demonstrated expertise in Generative AI, Large Language Models, Prompt Engineering, RAG, AI APIs, and LLM application development.
Strong understanding of:
Generative AI and foundation models
Large Language Models
LLM architectures and capabilities
Prompt Engineering
Advanced prompting techniques
RAG architectures
Embeddings and vector databases
Semantic search and knowledge retrieval
Function calling and tool integration
LLM APIs and integrations
LLM orchestration
Context management
Fine-tuning and model customisation
LLM evaluation and performance optimisation
Hallucination mitigation
Multimodal Generative AI
AI-powered automation
Responsible AI, security, privacy, bias, and governance
Hands-on experience with Generative AI frameworks and platforms such as OpenAI, Claude, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar technologies.
Strong understanding of AI APIs, LLM integration, and enterprise Generative AI applications.
Excellent communication, presentation, and facilitation skills.
Strong hands-on expertise in Advanced Generative AI and LLM application development.
Strong instructional and learner engagement abilities.
Ability to simplify complex Generative AI and LLM concepts through practical examples and demonstrations.
Experience building or demonstrating LLM-powered applications, RAG solutions, AI automation workflows, or Generative AI solutions.
Experience with platforms and frameworks such as OpenAI, Claude, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar technologies.
Strong understanding of Prompt Engineering, RAG, embeddings, vector databases, tool calling, function calling, and LLM orchestration.
Ability to explain LLM capabilities, limitations, context management, evaluation, and optimisation.
Strong understanding of Generative AI, Artificial Intelligence, Machine Learning, and modern AI technologies.
Excellent communication and storytelling skills.
Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms.
Strong learner engagement, facilitation, and Q&A management skills.
Ability to conduct interactive, activity-driven learning experiences.
Ability to connect Generative AI concepts with real-world business use cases.
Experience training professionals, working professionals, or adult learners in Advanced Generative AI, LLMs, or AI applications.
Experience creating Generative AI training content, exercises, demonstrations, or case studies.
Hands-on experience developing production-grade LLM applications or enterprise Generative AI solutions.
Experience implementing RAG pipelines, vector databases, embeddings, and knowledge retrieval systems.
Experience integrating LLMs with external APIs, databases, enterprise applications, and business systems.
Experience with multimodal Generative AI applications.
Experience with AI-powered automation and workflow orchestration.
Experience using AI coding assistants such as GitHub Copilot, Cursor, Claude Code, or similar tools.
Experience with Python and AI development environments.
Familiarity with current and emerging foundation models and Generative AI platforms.
Experience demonstrating Generative AI use cases across different business functions.
Strong understanding of responsible AI, AI ethics, security, privacy, bias, and governance.
Strong instructional and facilitation skills.
Excellent Generative AI, LLM, and AI application expertise.
Strong hands-on understanding of Generative AI technologies and LLM-powered applications.
Ability to explain complex technical concepts clearly using practical examples.
Strong understanding of LLMs, Prompt Engineering, RAG, embeddings, vector databases, APIs, and multimodal AI.
Professional virtual presence.
Analytical thinking and structured problem-solving.
Strong learner engagement and mentoring mindset.
Excellent communication and presentation abilities.
Ability to demonstrate practical and business-focused Generative AI applications.
Passion for developing Generative AI capabilities among professionals and learners.
Provide individualised learner support during live training sessions and scheduled office hours.
Maintain regular communication regarding learner progress
and skill development.
Respond promptly and professionally to learner and internal team communications.
constructive feedback on practical exercises
and learning assessments.
Support learners in applying Generative AI
and AI application development concepts to practical business scenarios.
Help learners design and experiment with LLM applications
and Generative AI use cases through guided practice and hands-on demonstrations.
Evaluate learner progress based on participation
and hands-on activities.
Maintain accurate records of learner engagement and performance.
Identify learners requiring additional support and collaborate with internal teams to improve learning outcomes.
Contribute to continuous improvement initiatives for training quality and learner success.
Adhere to institutional policies and instructional standards.
and professional learning environment.
Serve as a mentor and industry role model for learners developing their Generative AI and LLM skills.
Collaborate with instructional staff and curriculum teams to enhance learner experience and training effectiveness.
Represent Simplilearn professionally when interacting with learners
and external stakeholders.

Responsibilities

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

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Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Skills & expertise

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Everything else on this page, kept up to date and available to every member of Chakrie at no cost at all.

Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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Instructor - Advanced GenAI

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