ai engineer for enterprise AI agents

Описание:

Flow Traders creates the conditions for high-performing people to do their best work and operates offices worldwide.

Задачи:

• Design and implement AI agents that plan, reason, and execute multi-step workflows
• Build single-agent and multi-agent architectures for enterprise use cases
• Develop reusable agent patterns and templates for other teams
• Deploy agents on managed platforms, including Anthropic, Azure OpenAI, and 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, including prompt and configuration 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 for accuracy, task completion, and reliability
• Monitor agent behavior and performance in production
• Implement fallback mechanisms, error handling, cost controls, and usage guardrails
• Ensure agents comply with security policies, data access constraints, and regulatory frameworks
• Maintain audit trails and explainability of agent actions
• Deliver solutions for 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

Требования:

• 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 AWS, Azure, or GCP
• Experience with Docker and basic Kubernetes orchestration
• Experience with CI/CD pipelines, production deployment, and observability tools
• 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

Условия:

• Competitive salary
• Annual discretionary profit share and comprehensive benefits
• Flow Academy and opportunities to attend domain-related conferences
• Daily catered lunch, coffee, a stocked kitchen, and snack bar
• In-house bar and lounge with arcade games, 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 events throughout the year, including the New Year's Event
• Global rotations across offices worldwide