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Monstro

Senior Applied AI Research Engineer

Monstro

Senior Applied AI Research Engineer architecting and shipping AI systems for financial analysis. Involved in developing infrastructure and ensuring compliance in a regulated industry.

Posted 6/25/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $194,000 - $235,000 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsPythonReactTypeScript

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Competitive salary
  • Equity
  • Robust benefits package, including paid health, vision, dental, and disability coverage

ATS Keywords

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Hard Skills & Tools
AI agent systemsmulti-agent workflowsorchestration layersPythonFastAPIevent-driven architecturesjob pipelinesmodel evaluationReactTypeScript
Soft Skills
leadershiptechnical decision-makingcommunication