AI Engineer

McGregor Boyall • Netherlands
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AI Summary

Design and build production-grade AI agents to streamline decision making, automate workflows, and unlock faster execution across the business. Build and deploy AI agents in Python for real internal users. Partner with stakeholders to understand needs and deliver usable outcomes.

Key Highlights
Hands-on engineering role with real ownership
Design and build production-grade AI agents
Partner with stakeholders to understand needs
Key Responsibilities
Build and deploy AI agents in Python for real internal users
Integrate agents into existing platforms, services, and data pipelines
Assess third-party model options and choose what fits the use case
Technical Skills Required
Python 3.x asyncio AI agent frameworks LLM integrations CI CD enterprise systems
Benefits & Perks
Hybrid work style with relocation and visa support available
High trust environment with real scope and technical autonomy
Compensation that includes a meaningful performance-linked bonus

Job Description


Role: AI Engineer

Industry: Electronic Trading

Location: Amsterdam

Work style: Hybrid, with relocation and visa support available


Tech focus: Python 3.x, asyncio, AI agent frameworks, LLM integrations, CI CD, enterprise systems


Overview

A high performing trading and technology firm is building a new generation of internal AI agents to streamline decision making, automate workflows, and unlock faster execution across the business. This is a hands on engineering role with real ownership. You will take ideas from prototype to production, measure impact, and keep raising the bar once solutions are live. If you enjoy turning strategy into working systems and you care about reliability as much as cleverness, this one is worth a discreet chat.


What you will be building

You will design and build production grade AI agents that coordinate data, tools, and business processes. The work spans engineering fundamentals, model integration, evaluation, and operational excellence.


What you will do

  • Build and deploy AI agents in Python for real internal users
  • Integrate agents into existing platforms, services, and data pipelines
  • Assess third party model options and choose what fits the use case
  • Partner with stakeholders to understand needs and deliver usable outcomes
  • Own how agents are tested, evaluated, and monitored over time
  • Write clean, well tested code with strong reviews, documentation, and CI CD
  • Debug issues, improve performance, and drive reliability in production


What we are looking for

  • Experience integrating AI or ML libraries and external services into real products
  • Evidence you have built agents commercially or through meaningful open source work
  • 5 years+ building Python applications in production environments
  • Strong Python 3.x skills including asyncio, type hints, and resource handling
  • Solid software engineering foundations - modular design, patterns, and maintainable code


Why people join

  • High trust environment with real scope and technical autonomy
  • Compensation that includes a meaningful performance linked bonus
  • Strong support for relocation and work authorisation where needed


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