Training Mode: Instructor-led, hands-on, project-based training
Domain: Generative AI | Agentic AI | Enterprise AI Engineering
We are looking for motivated software developers, AI/ML engineers and technology professionals interested in advancing their expertise in Generative AI and Forward Deployed Engineering.
This intensive 8-week program is designed to equip participants with practical skills to architect, build, integrate and deploy enterprise-grade GenAI applications. Participants will work on real-world business scenarios, hands-on engineering assignments and an end-to-end enterprise capstone project.
Requirements:
- Req8–12+ years of overall experience in software engineering, AI/ML or technology development.
- Minimum 3–5 years of hands-on experience in AI/ML, Generative AI or LLM-based application development.
- Demonstrated experience developing and deploying real-world GenAI applications.
- Strong expertise in Python-based AI engineering.
- Practical experience building RAG systems and multi-agent AI workflows.
- Experience with GCP and Vertex AI is highly preferred.
- Prior experience delivering corporate training, technical bootcamps or enterprise training programs.
- Experience mentoring developers and guiding end-to-end capstone projects.
Training & Delivery Responsibilites
1. Deliver the complete 8-week curriculum covering foundational, intermediate and advanced GenAI engineering.
2.
Conduct instructor-led coding sessions and practical implementation labs.
3. Demonstrate real-world GenAI architecture and enterprise application development.
4. Guide six teams of five participants each through the capstone project.
5. Conduct daily coding reviews, weekly assessments and technical evaluations.
6. Mentor participants on debugging, architecture decisions, deployment and optimisation.
7. Conduct four sprint-based project reviews and technical defense sessions.
8. Support participants in building production-ready GenAI solutions.
9. Track individual participant progress and share periodic performance reports.
10. Prepare technical assignments, coding exercises, evaluation rubrics and learning materials.
Preferred Trainer Profile:
- Current or previous experience as GenAI Architect, AI/ML Lead, Senior GenAI Engineer, AI Solutions Architect or Principal AI Engineer.
- Experience working on enterprise GenAI implementations.
- Robust communication, presentation and technical mentoring skills.
- Ability to explain complex AI engineering concepts through practical demonstrations.
- Experience working with corporate clients and enterprise technology teams.
Note: This is not a theoretical AI training assignment. We require a technically strong, hands-on trainer with proven experience in building and deploying GenAI applications in real-world environments.