[Hiring] Instructor - Advanced GenAI @Fullstack Academy

Role Description

The 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. The 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
• Emerging Generative AI technologies

This 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
• Connecting technical concepts with real-world business applications

Classes are delivered 100% online in a synchronous, instructor-led format.

Qualifications

• 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

Requirements

• 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
• Excellent communication, presentation, and facilitation skills

Benefits

• Compensation of $80 per hour, depending on qualifications, experience, and alignment with programme requirements
• Part-Time, Non-Exempt classification with compensation for all hours worked

Work Schedule

• Part-Time instructors typically work 8–12 hours per week
• Each training session is approximately 3 hours in duration
• Sessions are delivered live in a fully online format
• Flexibility for evening and weekend availability is preferred

Equal Employment Opportunity

We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, colour, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Work Authorisation

Applicants must be legally authorised to work in the United States at the time of application and throughout employment.