The Future of
AI Engineering
Agents · Enterprise AI · AI-Assisted Development · Responsible AI
Continuous AI Engineering Cycle
Agents
Autonomous reasoners, tool orchestration & multi-agent systems.
Enterprise AI
Production scale RAG, security, infrastructure & latency optimizations.
AI-Assisted Dev
Developer velocity tools, automated coding agents & IDE workflows.
Responsible AI
Evals, guardrails, alignment, compliance & safety frameworks.
These aren't four separate tracks. They surface at the moments in the lifecycle where they matter — and the golden thread below runs through all of them.
The Run of Show Is a Story
Every session below sits on the thread and answers one step of the journey. The breaks sit off it. Follow the golden line from the first LLM call to a system running reliably in production.
Setting the Stage
Kickoff the event, coordinate the crowd, set the energy, and prepare the audience for the golden thread journey of AI engineering.
Soham Sharma · Principal AI ArchitectSet the Frame
Not AI tools. Not prompting. Not ChatGPT — engineering. Name the journey the room is about to walk, so every session that follows has a place to land.
Dr. Promit Ray · Chief AI Officer (RAYOL AI)Think Like an AI Engineer
The honest, rigorous picture of where the field is — and where it's going. We dive deep into foundation models, reasoning architectures, inference economics, agents, evaluation harnesses, and governance. Ends on the hook for the whole day: "today, we'll build one."
Harsh Sahu (Walkover)Build Your First AI Agent: EdTech Case Study
Not "drag nodes in a builder." We write real code to assemble an orchestration pipeline. We'll build a highly relevant EdTech Intelligent Tutor Agent that uses RAG (Retrieval-Augmented Generation) to search through a vector database of curriculum documents, answer student queries, and utilize tools for math evaluation and progress tracking.
Harsh Sahu (Walkover)Evaluation, Memory & Production deployment
Expanding our EdTech RAG Agent. We add multi-step memory, guardrails, and rig up automated evaluation harnesses to measure hallucination rates. Everyone leaves with an evaluated agent running in a repository they own.
Soham SharmaBuilding Your AI Engineering Journey
What companies actually expect, and the roadmap from where you are to where you want to be. The forward-looking close answering what comes next, leading into the launch of the Botmartz AI Engineering Community.
Open AMA, Networking & Community Onboarding
The most valuable thirty-five minutes of the day, and the least structured. Ask anything, show what you built, talk to sponsors, and get onboarded into the community.
AI-assisted development isn't a standalone slot — each speaker shows how it's changing their own workflow, so attendees see it as a tool used across the whole lifecycle, not an isolated topic.
The Roadmap They Leave With
The single diagram that ties the whole day together — the lifecycle every production AI system moves through from raw models to resilient enterprise engineering.
The Botmartz AI Engineering Community launches right at the close — framed as the first meetup, not the end of an event. Sign-ups happen at the door and on the way out.
* Timings are adaptable: if live sessions run slightly ahead and conclude around 4:00 PM, we transition straight to evening networking and wrap up right around 4:30–5:00 PM.
Meet the Instructors
Learn directly from practitioners who design, build, and deploy AI systems in production every single day.
Soham Sharma
Soham is an AI Engineer and Architect specializing in Enterprise RAG, agentic workflows, and deploying LLMs into production. He has trained hundreds of developers and works daily on the frontier of applied AI.
Dr. Promit Ray
Dr. Promit Ray is a leading researcher focused on foundation models, reasoning architectures, and inference economics. He guides enterprise AI strategies and advanced research at a global scale.
A 30–50 page handbook covering the AI engineering landscape, learning paths, tool recommendations, and career advice from our speakers.
A dynamic Q&A session wrapping up AI Frontier. Bring your hardest questions about AI engineering, prompt injection, vector databases, or scaling models in production. Open to everyone.
AI Frontier is day one of an ecosystem — monthly meetups, a Discord, an open-source GitHub org, a reading club, and hackathons. Be there when it launches.