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AI Engineering Director at Ciklum
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October, 02
17:00 (CET)
How to build multi-turn agents
Max Pavlov
Free
English
Zoom
Why is this topic hot?
Agentic architecture is important because AI agents are set to unlock the next era of enterprise productivity. While the term Agent is used in various scenarios, we assume that an agent is an application that iteratively achieves a given task using a phased approach. It plans the job, starts executing the plan using various tools it has at its disposal, and ultimately concludes on the achieved goal. This goes beyond the simple “prompt-response” paradigm. Implementing such agents could be non-trivial, therefore, this becomes an important topic for engineers who are designing and implementing such systems.
We will talk about:
Join Max Pavlov, our AI Engineering Director, for an in-depth session on AI agents. We will review a few code examples of how such “agents that take turns” can be built and discuss the expansion and integration landscape for these agents. We will be reviewing an entry-level implementation of the agentic architecture.
Speaker
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Max Pavlov
AI Engineering Director at Ciklum
Over a decade at Ciklum, Max Pavlov has worn many hats — from Team Lead and Architect to Head of .NET and AI Engineering Director. His journey blends deep technical expertise with a passion for innovation. Today, he focuses on AI and Machine Learning, helping businesses harness cutting-edge technologies. Don’t miss the opportunity to learn how to build multi-turn agents from one of our top experts.
Since 2002, we’ve engineered technology that redefines industries and shapes the way we live
We are
CIKLUM
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25+
20+
4000+
KEY
clients reached IPO stage
seasoned like-minded experts globally
client domains: healthcare, fintech, travel, e-commerce, entertainment, security
offices worldwide
This event will be interesting for:
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software developers and architects interested in developing AI agents;
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tech leads, architects, and AI/ML engineers interested in baseline implementation without relying on out-of-the-box solutions like CrewAI and LangChain;
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engineering managers aiming to learn more about AI agents.
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Python knowledge is preferred, but not mandatory.
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