> Markdown version of [/jobs/ext/4677644-ai-software-engineer-agentic-workflows](https://www.wearedevelopers.com/jobs/ext/4677644-ai-software-engineer-agentic-workflows). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer (Agentic Workflows) - **Company:** Sytac - **Location:** Amsterdam, Netherlands - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Software Debugging, Python (Programming Language), Machine Learning, OpenAI, Data Processing, Large Language Models, Multi-Agent Systems, Agentic-AI, Containerization, Azure AKS, Docker - **Published:** November 12, 2026 - **Apply:** https://www.adzuna.nl/details/5961928895 ## About the Role * You are first and foremost a strong engineer who knows how to build robust software around AI models. * Experience building multi-agent systems, state management, and tool-calling (experience with LangGraph or similar kits is essential). * Deep knowledge of Python, Docker, and experience running workloads on AKS. * Familiar with evaluating LLM outputs and optimizing agent performance (experience with Phoenix is a significant plus). * Strong affinity with the Azure ecosystem. * Excellent communication skills in English. * No sponsorship is available, and candidates must already reside in the Netherlands. ## Description For our client in the banking sector, we are looking for Software / AI Engineers specialized in building Agents. You will work on advanced agentic architectures running on large-scale container platforms, where reliability and scalability are essential. What you'll do * Design and implement intelligent agents using frameworks such as OpenAI Agent Kit or LangGraph. * Write high-quality, production-grade Python code for AI orchestration and data processing. * Utilize Phoenix (Arize) for monitoring, evaluating, and debugging LLM traces and agent decision-making. * Deploy and scale agentic solutions on Azure Kubernetes Service (AKS) using containerization. * Connect agents with internal APIs and data sources within a complex, secured cloud environment.