About the role
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 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.
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 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
Requirements
•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
Conditions & Benefits
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.
•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 a nutritionist or personal trainer
•Bi-weekly massages
•Annual company trip and a variety of events throughout the year, such as the New Year's Event
•Global rotations across offices worldwide
