Senior Applied AI Research Engineer

📋 Description Architect and build AI agent systems, with multi-agent workflows and auditable infra Design modeling and reasoning for financial services with traceable outputs Build internal tooling platforms (Python/FastAPI) to author, validate, deploy AI analysis Own distributed backend infra: event-driven workers, pipelines, multi-stage processing Establish patterns for AI output validation and guardrails Drive cross-team decisions on schema, API contracts, and service boundaries 🎯 Requirements 5-8+ years of engineering experience leading complex systems end-to-end Hands-on AI/ML experience: agent architectures, LLMs, pipelines Python expertise: async services, type-safe code, scalable systems Experience building AI in regulated industries (finance/health/legal) or with compliance Strong distributed systems: event-driven architectures, queues, state machines Relational DB fluency and data modeling instinct 🎁 Benefits Ownership & impact: shape AI-powered finance at scale Experienced team with track records of scaling companies Principles-driven culture: speed, ownership, impact Comprehensive benefits: health, vision, dental, disability