2 days ago

AI Engineer

Flow Traders

Amsterdam

2 days ago

Apply

AI Engineer

Flow Traders is seeking an AI Engineer to design, build, and scale enterprise-grade AI agents and automation workflows. The role spans the full agent lifecycle, from design and development to deployment, evaluation, and production operation, with a strong emphasis on governance, observability, and measurable business impact.

Core AIOn-siteFull-timeSeniorPythonLLM-based Applications

AI Engineer

Apply

Core AIOn-siteFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)

PythonLLM-based applicationsAgent systemsLangChainLangGraphAutoGenCrewAIAPI developmentMicroservicesTool orchestrationVector databasesRAG pipelinesPrompt engineeringAWSAzureGCPDockerKubernetesCI/CD pipelinesObservability tooling

Soft Skills

Ability to design goal-driven AI systemsAbility to implement evaluation pipelines and production guardrailsAwareness of cost, latency, and performance trade-offs

Key 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
•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

AI EngineerSoftware DevelopmentEngineeringFull-timeOn-siteAmsterdamAI agentsLLMAutomationEnterprise AI

Core Qualifications

Technical (Must-have)

Soft Skills

Ability to design goal-driven AI systemsAbility to implement evaluation pipelines and production guardrailsAwareness of cost, latency, and performance trade-offs

Key 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

•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