Enterprise AI Agent 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 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.