AI Engineer

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. 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 Tradi