Senior Applied AI Research Engineer

About the role

We're looking for a Senior Applied AI Research Engineer to support our AI team at the heart of the company's mission. This is a deeply technical role with real scope: you'll architect and ship systems that power AI-driven financial analysis, build the tooling and infrastructure that domain experts rely on, and set the engineering bar for how we build AI systems responsibly in a regulated industry.

Responsibilities

• Arcitect and build AI agent systems — including multi-agent workflows, orchestration layers, and the infrastructure that makes them reliable and auditable in production
• Design modeling and reasoning systems that meet the correctness and explainability requirements of financial services — where every recommendation needs to be traceable and defensible
• Build internal tooling platforms (Python/FastAPI) that enable domain experts and engineers to author, validate, and deploy AI-powered analysis at scale
• Own distributed backend infrastructure: event-driven workers, job pipelines, and multi-stage processing systems that deliver AI outputs reliably under load
• Establish patterns for AI output validation and quality assurance — including automated evaluation pipelines, hallucination detection, and compliance guardrails
• Drive technical decisions across teams: schema design, API contracts, system boundaries, and service architecture

Requirements

• 5-8+ years of engineering experience, with a track record of leading complex systems from design to production
• Hands-on experience with AI/ML systems — agent architectures, LLM integration, model evaluation, or AI pipelines in production
• Python expertise — async services, type-safe code, and systems that scale
• Experience building AI systems in regulated industries (financial services, healthcare, legal) or with compliance, auditability, or explainability requirements
• Strong distributed systems fundamentals: event-driven architectures, message queues, job state machines, and worker patterns
• Relational database fluency and an instinct for data modeling
• Full-stack range — you can build product-quality React/TypeScript UIs when the problem calls for it
• Opinionated about how AI systems should be tested, evaluated, and monitored in production

Qualifications

• Nice to have: experience designing multi-agent systems, agentic workflows, or AI orchestration layers
• Background in quantitative finance, financial planning, or wealth management technology
• Experience leading technical teams or acting as a force multiplier across engineering

Benefits

• Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world.
• Experienced Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits.
• Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45.
• Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage.

Pay

Base Compensation Range (New York City): $194,000 - $235,000

Schedule

Flexible work schedule