Program Duration: 40 days 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
• Deliver the complete 8-week curriculum covering foundational, intermediate and advanced GenAI engineering.




• Conduct instructor-led coding sessions and practical implementation labs.
• Demonstrate real-world GenAI architecture and enterprise application development.
• Guide six teams of five participants each through the capstone project.
• Conduct daily coding reviews, weekly assessments and technical evaluations.
• Mentor participants on debugging, architecture decisions, deployment and optimisation.
• Conduct four sprint-based project reviews and technical defense sessions.
• Support participants in building production-ready GenAI solutions.
• Track individual participant progress and share periodic performance reports.
• 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.

📌 Forward Deployed Engineer (Chennai)
🏢 Technovites
📍 Chennai