Agentic Engineering with Alibaba Cloud

Agentic Engineering with Alibaba Cloud
Models, Memory, Tooling & Deployment for Production AI Systems
Agentic AI is rapidly moving from experimentation to production. Building successful AI systems today requires much more than selecting a foundation model. Teams must make decisions around model strategy, RAG, memory architecture, enterprise integrations, deployment infrastructure, governance, performance, cost, reliability, and long-term scalability.
Join London Agentic AI and Alibaba Cloud for an evening dedicated to the engineering behind modern AI systems along with talks from leadership of Tomoro AI and Recombine AI.

This event brings together AI engineers, founders, technical leaders, and practitioners, CEO/CTOs who are actively building and deploying production AI systems across startups and enterprises.
If you are building AI-native products, deploying enterprise AI solutions, evaluating open-weight models, or scaling agentic systems into production, this event will provide practical knowledge from people solving these challenges every day.

Speakers
Alex McLeman :Strategic Solutions Architect, Alibaba Cloud

Alibaba Cloud Strategic Solutions Architect, will walking the model portfolio behind Alibaba Cloud Model Studio, one of the broadest open-weight catalogues in production today. You'll leave with a clear view of which model fits which workload (RAG, agents, fine-tuning, multimodal pipelines, on-prem inference economics), and where Apache 2.0 licensing reshapes your build vs. buy math. Engineering-led conversation. Bring questions.
Rishabh Sagar: Co-founder, Tomoro AI

AI Systems That Remember: Memory's Role within the Agent Architecture
Memory is what separates a stateless model call from a genuinely useful AI system. In this session, we'll explore why persistent memory is becoming a foundational layer of the harness around modern agentic systems, the infrastructure that shapes how a model behaves without ever touching its weights. Get this right, and you build experiences that compound in value over time.
Stas Bichenko : CEO, Recombine AI

Auto-generating SDKs for conversational AI
Conversational AI agents are only as good as the data they can access. How do you connect your voice AI to complex enterprise-grade systems? How do you let the non-technical people control the agents that can make API calls? How do you keep conversations natural with high-latency API calls. It's easier than you might think. I'll go through the approach we've chosen at Recombine: generating the AI agent's SDKs automatically from API docs.

Panel Discussion & Audience Q&A
Deploying Agentic AI in Production: What Actually Works?Following the talks, join an interactive panel discussion featuring all speakers, followed by audience Q&A. Bring your questions and engage directly with leaders building and deploying AI systems today.

What You'll Learn
🧠 How memory architectures are becoming a foundational layer of modern AI systems
📦 How to evaluate and deploy models for agentic applications, RAG systems, multimodal workloads, and enterprise use cases
🛠️ How AI agents can safely and effectively connect to enterprise systems through APIs, tooling, and integrations
🚀 Deployment strategies, infrastructure considerations, and operational best practices for production AI systems
💰 Model selection, cost optimization, inference economics, and build versus buy decisions
🌐 How open-weight ecosystems such as Qwen are influencing the future of enterprise AI adoption

Why Attend?
This is a technical and engineering-focused event designed for people building real AI systems. Learn directly from practitioners, founders, and technical leaders who are working on production deployments today. Hear first-hand lessons from teams building memory-driven AI applications, enterprise integrations, conversational systems, and large-scale AI infrastructure.
Explore the rapidly growing Qwen ecosystem and gain insights into Alibaba Cloud Model Studio, one of the industry's broadest open-weight model platforms. Understand how organizations are evaluating models, deploying AI systems, and making infrastructure decisions in a rapidly evolving landscape.
Connect with fellow builders, engineers, founders, architects, and decision makers from London's growing Agentic AI community.

Who Should Attend?
• AI/ML/Agent Engineers/Architect Managers
• CTOs and Technical Founders
• CEOs building AI-first companies
• Product Leaders responsible for AI initiatives
• Startup Founders and Technical Decision Makers
• Anyone interested in deploying AI systems into production

Agenda
18:00 – 18:40
Registration, networking, food & refreshments
18:40 – 18:45
Welcome from London Agentic AI, Alibaba Cloud

18:45 – 19:10
Alibaba Cloud Intro and talk from Alex McLeman
19:10 – 19:30
Rishabh Sagar, Tomoro AI
19:30 – 19:50
Stas Bichenko, Recombine AI
19:50 – 20:10
Panel Discussion: Deploying Agentic AI in Production: What Actually Works?
20:10 – 20:30
Networking at venue
20:30 PM onwards – Big Chill pub and informal networking

Event Details
📅 25 June 2026
🕕 6:00 PM – 9:00 PM BST
📍 Tessl London
210 Pentonville Rd
London N1 9JY

🙏 Sponsors & Venue Partner
Sponsored by Alibaba Cloud

A special thank you to Alibaba Cloud for sponsoring this event and supporting the London Agentic AI community. We are excited to showcase insights from Alibaba Cloud's AI ecosystem, including Model Studio and the rapidly growing Qwen family of open-weight models.
💎 Venue provided by Tessl
Thank you to Tessl for hosting this event at their London office and supporting the growth of London's AI engineering community.

Tessl Policy:
P.S: Full Name, Email Data Collection and Usage Update:As per Tessl building security, all attendees must provide their first name, last name, and email address. Your email will only be used for event-related purposes. After the event you will be automatically subscribed to event updates from the AI Native Dev Community from Tessl. You can unsubscribe at any time.
About London Agentic AI
London Agentic AI is a high signal community of more than 5k members including engineers, founders, researchers, and AI practitioners exploring the future of agentic systems and AI engineering. Our events focus on high signal practical implementation, production deployments, real-world experiences, and meaningful conversations that help builders move beyond demos and into production.
Seats are very limited. Register ✍️ early to secure your place.