AI Engineer

Flow Traders; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flow Academy access

Catered meals and snacks

Gym and wellness programs

Global rotations across offices

Annual company trip

Job summary

Flow Traders is seeking an AI Engineer to design, build, and scale enterprise-grade AI agents and automation workflows across the organization. You will translate real business problems into autonomous agent-driven solutions integrated with internal systems and data platforms.

You will own the agent lifecycle from design to production, with emphasis on governance, observability, and measurable business impact. Join a fast-paced, innovative team in Amsterdam.

Qualifications

• Strong programming skills in Python.
• Hands-on experience with LLM-based applications and agent systems.
• Familiarity with agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
• Experience with API development, microservices, and tool orchestration.
• Knowledge of vector databases, RAG pipelines, and prompt engineering.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Containerization (Docker) and basic orchestration (Kubernetes).
• CI/CD pipelines, production deployment, and observability tooling.
• Ability to design goal-driven AI systems rather than static models.
• Experience building multi-step reasoning workflows.
• Ability to implement evaluation pipelines and production guardrails.
• Awareness of cost, latency, and performance trade-offs in LLM systems.

Responsibilities

• Design and implement AI agents capable of planning, reasoning, and executing multi-step workflows.
• Build single-agent and multi-agent architectures for enterprise use cases.
• Develop reusable agent patterns and templates that other teams can build on.
• Deploy agents on managed platforms (Anthropic, Azure OpenAI, GCP Vertex AI).
• Configure secure execution environments, lifecycle management, and session handling.
• Own the agent release lifecycle: prompt and config versioning, staged rollouts, and canary releases.
• Integrate agents with internal data platforms, APIs, and services.
• Implement RAG pipelines, vector databases, and structured knowledge layers.
• Build evaluation frameworks measuring accuracy, task completion, and reliability.
• Monitor agent behavior and performance in production.
• Implement fallback mechanisms, error handling, cost controls, and usage guardrails.
• Ensure agents operate within security policies, data access constraints, and regulatory frameworks.
• Maintain audit trails and explainability of agent actions.
• Deliver solutions covering investigation workflows, reporting, reconciliation, and decision support.
• Implement safeguards against hallucinations, unsafe actions, and data leakage.
• Translate workflows from Trading, Risk, Compliance, Finance, and Operations into agent-driven automation.

Skills

Python

LLM-based applications

Goal-driven AI systems

Multi-step reasoning

Observability

Tools

LangChain

LangGraph

AutoGen

CrewAI

Docker

Kubernetes

AWS

Azure

GCP

Job description

Flow Traders are looking for an AI Engineer who wants to work on one of the most exciting engineering challenges at the firm right now. As an AI Engineer on the team, you will design, build, and scale enterprise-grade AI agents and automation workflows across the organization. The focus is on translating real business problems into autonomous agent-driven solutions that integrate reliably with our internal systems, data platforms, and tools.

You will work across the full agent lifecycle: from design and development through deployment, evaluation, and production operation, with a strong emphasis on governance, observability, and measurable business impact.

What You Will Do

• Design and implement AI agents capable of planning, reasoning, and executing multi-step workflows
• Build single-agent and multi-agent architectures for enterprise use cases
• Develop reusable agent patterns and templates that other teams can build on
• Deploy agents on managed platforms (Anthropic, Azure OpenAI, GCP Vertex AI)
• Configure secure execution environments, lifecycle management, and session handling
• Design Human‑in‑the‑loop escalations and approval gates for high value actions
• Own the agent release lifecycle: prompt and config versioning, staged rollouts, and canary releases
• Integrate agents with our internal data platforms, APIs, and services
• Implement RAG pipelines, vector databases, and structured knowledge layers
• Build evaluation frameworks measuring accuracy, task completion, and reliability
• Monitor agent behavior and performance in production
• Implement fallback mechanisms, error handling, cost controls, and usage guardrails
• Ensure agents operate within our security policies, data access constraints, and regulatory frameworks
• Maintain audit trails and explainability of agent actions
• Deliver solutions covering investigation workflows, reporting, reconciliation, and decision support
• Implement safeguards against hallucinations, unsafe actions, and data leakage
• Translate workflows from Trading, Risk, Compliance, Finance, and Operations into agent-driven automation

What You Need To Succeed

• Strong programming skills in Python
• Hands‑on experience with LLM‑based applications and agent systems
• Familiarity with agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI
• Experience with API development, microservices, and tool orchestration
• Knowledge of vector databases, RAG pipelines, and prompt engineering
• Experience with cloud platforms (AWS, Azure, or GCP)
• Containerization (Docker) and basic orchestration (Kubernetes)
• CI/CD pipelines, production deployment, and observability tooling
• Ability to design goal‑driven AI systems rather than static models
• Experience building multi‑step reasoning workflows
• Ability to implement evaluation pipelines and production guardrails
• Awareness of cost, latency, and performance trade‑offs in LLM systems

What We Offer

At Flow Traders, we create the conditions for hard‑working, high‑performing people to do their best work. From a thorough onboarding and ongoing access to Flow Academy, to latest technology and a collaborative, non‑hierarchical culture, we give you the tools, ownership, and support to move fast and drive outcomes. We keep a close‑knit, small‑company feel while offering competitive salary, annual discretionary profit share, and comprehensive benefits, so talent can grow here, and stay here. See our benefits below:

• Flow Academy and opportunities to attend domain‑related conferences
• Daily catered lunch, great coffee, and a fully stocked kitchen and snack bar
• In‑house Bar and Lounge with arcade, table tennis, billiards, and game consoles
• Company boat
• In‑house gym and sessions with our nutritionist or personal trainer
• Bi‑weekly massages
• Annual company trip and a variety of events throughout the year, such as the New Years Event
• Global rotations across our offices worldwide
• and more