AI Engineer
Flow Traders provides continuous liquidity across global financial markets through technology-enabled market making and trading services.
About Flow Traders
Flow Traders helps institutional clients and market participants access liquidity across multiple asset classes through continuous market making services. You can trade ETPs, digital assets, fixed income, commodities, and FX products with enhanced execution quality. Flow Traders reduces trading costs and increases market efficiency through proprietary technology and global presence.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, deploy, evaluate, and operate enterprise AI agents and automation workflows. You will integrate agents with internal systems, data platforms, APIs, and services; implement RAG, evaluations, monitoring, guardrails, and secure release processes; and translate business workflows into reliable agent-driven solutions.
Requirements
- Strong Python programming skills
- Experience with LLM-based applications and agent systems
- Familiarity with LangChain, LangGraph, AutoGen, or CrewAI
- Experience with API development, microservices, and tool orchestration
- Knowledge of vector databases, RAG pipelines, and prompt engineering
- Experience with AWS, Azure, or GCP
- Experience with Docker and Kubernetes
- Experience with CI/CD, production deployment, and observability tooling
- Experience designing goal-driven AI systems and multi-step reasoning workflows
- Ability to implement evaluation pipelines and production guardrails
- Awareness of cost, latency, and performance trade-offs in LLM systems
Responsibilities
- Design and implement AI agents for multi-step workflows
- Build single-agent and multi-agent architectures
- Develop reusable agent patterns and templates
- Deploy agents on managed AI platforms
- Configure secure execution environments and lifecycle management
- Design human-in-the-loop escalations and approval gates
- Manage prompt and configuration versioning, staged rollouts, and canary releases
- Integrate agents with internal data platforms, APIs, and services
- Implement RAG pipelines, vector databases, and knowledge layers
- Build evaluation frameworks
- Monitor agent behavior and production performance
- Implement error handling, cost controls, and usage guardrails
- Maintain audit trails and explainability
- Implement safeguards against hallucinations, unsafe actions, and data leakage
- Translate business workflows into agent-driven automation
Benefits
- Daily catered lunch
- Coffee, stocked kitchen, and snack bar
- In-house bar and lounge
- Company boat
- In-house gym
- Nutritionist or personal trainer sessions
- Bi-weekly massages
- Annual company trip
- Global rotations