AI Engineer

AI in this role

openaianthropiclangchainlanggraphcrewaiautogenvertex-aiazure-openai

prompt-engineeringragai-agents

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.

What you will do:

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

What you need to succeed:

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

What we offer:

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. See our benefits below:

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 our nutritionist or personal trainer
Bi-weekly massages
Annual company trip and a variety of events throughout the year, such as the New Years Event
Global rotations across our offices worldwide
and more

Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

How we rate this

AI Engineer at Flow Traders rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGAI AgentsOpenAIAnthropicLangChainLangGraphCrewAI

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What's a project where you used OpenAI hands-on?
Walk me through how you've used Anthropic in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt Engineering, RAG, AI Agents, OpenAI, and Anthropic. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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