Taming the Agentic Beast: Engineering control into LLM-based workflows 2025

Taming the Agentic Beast: Engineering control into LLM-based workflows 2025

10 Nov 2025 Online Български Event Website

📅 Date: November 10, 2025, 7:30 PM
✨ Organizer: DEV.BG – AI/ML/Big Data User Group
🎟️ Speaker: Borislava Bagaliyska, Backend Software Developer @ Iris.ai
🏢 Supported by: FactSet, Iris.ai, and Valtech

ℹ️ About the Event:
Modern LLMs (Large Language Models) have unlocked new capabilities for solving complex problems that were previously hard to model. However, as we transition from deterministic systems to agentic architectures, engineers face new challenges – unpredictability, reliability, and the complexity of context engineering.

This talk explores how to design and build controlled, reliable, and production-grade agentic systems, combining the creative power of LLMs with engineering rigor and architectural discipline.

📢 Agenda:
✨ Native limitations of LLMs
✨ Tackling these limitations – theory and practice
✨ Tactics that improved our own agentic workflows
✨ Design patterns for robust agentic architectures
✨ Best practices for production-ready systems
✨ Q&A session

🎟️ About the Speaker:
Borislava Bagaliyska is a backend software engineer with over 6 years of experience across various domains, including workflow automation, platform extensibility, multi-cloud infrastructure-as-data, and Kubernetes-based platforms.
Currently at Iris.ai, she focuses on AI research and development, building an agentic workflow platform and applying it to real-world use cases like expert-support chatbots.
Borislava holds a Bachelor’s degree in Computer Science and is pursuing a Master’s in Artificial Intelligence.

🎟️ Registration:
The event is free, but pre-registration is required:
🔗 Register here

🧑‍💻 User Group:
Part of the AI/ML/Big Data community by DEV.BG, which hosts monthly events on artificial intelligence, data science, and machine learning.
Join the group

🏢 Organized by:
DEV.BG – Bulgaria’s leading IT job board.
Looking for an AI/ML/Big Data role? Explore open positions 🔗 here.

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