AI Engineer
Core
Design, build, and scale enterprise-grade AI agents and automation workflows to translate business problems into autonomous solutions.
Role type
Senior IC AI Engineer (Agent Systems)
Builds
Autonomous agent-driven solutions for investigation, reporting, reconciliation, and decision support
Domain
Financial Technology (Trading, Risk, Compliance, Finance, Operations)
Deliverable
production ML models
Required skills
Python, LLM-based applications, agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), API development, microservices, tool orchestration, vector databases, RAG pipelines, prompt engineering, cloud platforms (AWS, Azure, GCP), containerization (Docker), Kubernetes, CI/CD pipelines, observability, multi-step reasoning workflows, evaluation pipelines, production guardrails
Preferred skills
Designing goal-driven AI systems, cost/latency/performance trade-off awareness
Technologies
Anthropic, Azure OpenAI, GCP Vertex AI, LangChain, LangGraph, AutoGen, CrewAI, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Design and implement AI agents capable of planning, reasoning, and executing multi-step workflows; Build single-agent and multi-agent architectures; Develop reusable agent patterns and templates; Deploy agents on managed platforms; Configure secure execution environments and session handling; Design Human-in-the-loop escalations; Own the agent release lifecycle including versioning and canary releases; Integrate agents with internal data platforms and APIs; Implement RAG pipelines and vector databases; Build evaluation frameworks for accuracy and reliability; Monitor agent behavior in production; Implement fallback mechanisms and error handling; Ensure compliance with security policies and regulatory frameworks; Maintain audit trails and explainability; Translate workflows from Trading, Risk, Compliance, Finance, and Operations into agent-driven automation; Implement safeguards against hallucinations and data leakage
Seniority
Senior, hands-on IC