AI Engineer
Actively Hiring
Full-time Posted 2 days ago
Role overview
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.
Responsibilities
- check_circle Design and implement AI agents capable of planning, reasoning, and executing multi-step workflows
- check_circle Build single-agent and multi-agent architectures for enterprise use cases
- check_circle Develop reusable agent patterns and templates that other teams can build on
- check_circle Deploy agents on managed platforms (Anthropic, Azure OpenAI, GCP Vertex AI)
- check_circle Configure secure execution environments, lifecycle management, and session handling
- check_circle Design Human-in-the-loop escalations and approval gates for high value actions
- check_circle Own the agent release lifecycle: prompt and config versioning, staged rollouts, and canary releases
- check_circle Integrate agents with our internal data platforms, APIs, and services
- check_circle Implement RAG pipelines, vector databases, and structured knowledge layers
- check_circle Build evaluation frameworks measuring accuracy, task completion, and reliability
- check_circle Monitor agent behavior and performance in production
- check_circle Implement fallback mechanisms, error handling, cost controls, and usage guardrails
- check_circle Ensure agents operate within our security policies, data access constraints, and regulatory frameworks
- check_circle Maintain audit trails and explainability of agent actions
- check_circle Deliver solutions covering investigation workflows, reporting, reconciliation, and decision support
- check_circle Implement safeguards against hallucinations, unsafe actions, and data leakage
- check_circle Translate workflows from Trading, Risk, Compliance, Finance, and Operations into agent-driven automation
Basic 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
Benefits
- check_circle Flow Academy and opportunities to attend domain-related conferences
- check_circle Daily catered lunch, great coffee, and a fully stocked kitchen and snack bar
- check_circle In-house Bar and Lounge with arcade, table tennis, billiards, and game consoles
- check_circle Company boat
- check_circle In-house gym and sessions with our nutritionist or personal trainer
- check_circle Bi-weekly massages
- check_circle Annual company trip and a variety of events throughout the year, such as the New Years Event
- check_circle Global rotations across our offices worldwide
- check_circle and more
Tags & Focus Areas
Ai Ai Engineer Robotics
About Flow Traders
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