2 months ago
Base Salary
$194k - $235k/yr
Responsibilities
- Architect and build reliable, auditable AI agent systems, including multi-agent workflows and orchestration layers.
- Experiment with emerging AI models, tools, and development patterns and turn successful approaches into production software.
- Design explainable modeling and reasoning systems for financial services use cases.
- Build Python and React/TypeScript internal applications and platforms for authoring, validating, and deploying AI-powered analysis.
- Own distributed backend infrastructure, including event-driven workers, job pipelines, and multi-stage processing systems.
- Establish AI output validation and quality assurance patterns, including automated evaluation pipelines, hallucination detection, and compliance guardrails.
- Drive technical decisions covering schemas, API contracts, system boundaries, and service architecture.
- Contribute to full-stack application development and document technical decisions and testing practices.
Requirements
- Hands-on experience designing, building, and shipping production software systems using AI development tools, especially AI-powered software.
- Strong software engineering skills and a demonstrated record of contributing to application architecture best practices.
- Expertise in Python, including asynchronous services, type-safe code, and scalable systems.
- Strong distributed systems fundamentals, including event-driven architectures, message queues, job state machines, and worker patterns.
- Fluency with relational databases and data modeling.
- Ability to build product-quality React/TypeScript user interfaces when needed.
- Preferred experience with production AI/ML systems, agent architectures, LLM integration, model evaluation, or AI pipelines.
- Preferred experience designing multi-agent systems, agentic workflows, AI orchestration layers, big-data pipelines, infrastructure as code, or cloud infrastructure.
- Preferred background in quantitative finance, financial planning, wealth management technology, regulated industries, compliance, auditability, or explainability.
- Experience leading technical teams or serving as a force multiplier across engineering is preferred.
Benefits
- Competitive cash compensation and meaningful equity.
- 100% employer-paid medical, dental, and vision coverage.
- Disability coverage, flexible paid time off, paid parental leave, and catered meals.
- In-person work in New York City four days per week at The Spiral in Hudson Yards.
Tech Stack
Categories
About Monstro
Monstro builds an AI-powered Financial Intelligence System for regulated financial institutions, enabling banks and wealth managers to deliver personalized, governed financial guidance across saving, borrowing, investing, and planning. It sells enterprise software configured to each institution’s policies, with explainability, security, and oversight features suited to compliance and large-scale client coverage. Founded in 2021 and headquartered in New York, the company is privately held and launching with financial institutions.