AI Software Engineer (Agentic Workflows)

Sytac; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Unlimited Growth Days

The Best Gear

Invest in You

Win Together

Future Proof

Job summary

Sytac is looking for Software / AI Engineers in Amsterdam to design and implement intelligent agents for the banking sector. Candidates will develop advanced agentic architectures on Azure Kubernetes Service, write production-grade Python code, and ensure scalability and reliability. Required skills include deep knowledge of Python, Docker, and experience with agent frameworks like OpenAI Agent Kit. Benefits include professional development days, a generous growth budget, and referral bonuses.

Qualifications

• Strong engineering background in building robust software around AI.
• Experience in multi-agent system development and state management.
• Familiarity with optimizing LLM outputs.

Responsibilities

• Design and implement intelligent agents using specified frameworks.
• Write high-quality Python code for AI orchestration.
• Deploy agentic solutions on Azure Kubernetes Service.

Skills

Python

Docker

Multi-agent systems

English communication

Azure SDK

Tools

OpenAI Agent Kit

LangGraph

Azure Kubernetes Service (AKS)

Phoenix (Arize)

Job 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.

Life at Sytac

• Unlimited Growth Days: Paid days off for your professional development!
• The Best Gear: Pick a private laptop (<€4,000) with 50% paid by us.
• Invest in You: A €2,400 annual growth budget for training and conferences.
• Win Together: Referral bonuses from €3,000–€5,000 for bringing talent to the team!
• Future Proof: We contribute 3.75% to your pension.