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Senior Applied AI Research Engineer
MonstroSenior 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 & technologiesDistributed 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