Senior Applied AI Research Engineer

## **About Monstro** Monstro is the operating system for governed financial intelligence. We build governance and intelligence infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale. We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We’re building mission-critical systems in a highly regulated domain, and we care deeply about doing it right. If you’re motivated by meaningful problems, high standards, and shaping infrastructure that improves financial outcomes, you’ll feel at home here. ## **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. You'll influence how we design agents, how we validate and govern AI output, how we scale our modeling infrastructure, and how we think about auditability and compliance. This isn't a role where AI is a thin wrapper — the intelligence layer is the product. ## **What You'll Do** - Architect 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 ## ## **What We're Looking For** - 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 ### **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 ## ## **Why Monstro?** **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:** Wor…