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AI Software Engineer – Agentic Workflows

Sytac — Netherlands · Posted ~21 hours ago

Senior Contract

Skills

Python AI agents Agentic workflows LLM orchestration LangGraph RAG API integration Kubernetes Azure Containerization AI observability Data processing OpenAI Agent Kit Arize Phoenix Azure Kubernetes Service Docker APIs LLMs

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Summary ✨ AI‑Generated

An engineering consultancy is seeking an AI Software Engineer to build sophisticated autonomous agents for an enterprise banking environment. You will design agentic architectures, write production-grade Python for orchestration and data processing, monitor and evaluate LLM behavior, and deploy scalable solutions on Kubernetes in the cloud. The role emphasizes reliability, scalability, and real-world enterprise integration.

Highlights

Advanced AI engineering role focused on production-grade autonomous agents rather than simple chatbots. Includes work with large-scale container platforms, enterprise integrations, LLM observability, scalable deployment, and sophisticated agentic architectures in a banking environment.

Description

At Sytac, we build high-performing engineering teams for organizations pushing the boundaries of innovation. We combine technical craftsmanship with a pragmatic approach—giving AI Engineers the autonomy to move beyond simple chatbots and build complex, autonomous agents within enterprise environments. 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. What we’re looking for 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.Stack: Python, OpenAI Agent Kit / LangGraph, Phoenix, Azure, AKS, Docker. Life at Sytac Unlimited Growth Days: Paid days off for your professional development!The Best Gear: Pick a private laptop (