27 days ago
Base Salary
$224k - $264k/yr
Responsibilities
- Architect and build reliable, auditable AI agent systems, including multi-agent workflows, orchestration layers, and production infrastructure.
- Evaluate emerging AI models, tools, and development patterns and guide their adoption in production systems.
- Design modeling and reasoning systems that provide traceable, explainable, and defensible financial recommendations.
- Build internal Python and React 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 automated AI output validation, evaluation pipelines, hallucination detection, quality assurance, and compliance guardrails.
- Drive technical decisions involving schema design, API contracts, system boundaries, and service architecture.
- Contribute to full-stack application development and lead engineering initiatives across teams and cross-functional partners.
- Promote engineering and architecture best practices and mentor senior engineers.
Requirements
- 8+ years of engineering experience and a track record of leading complex systems from design to production.
- Hands-on experience designing, building, and shipping production software systems using AI development tools, especially AI-powered software.
- Strong software engineering skills and experience applying 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.
- Relational database fluency and strong data-modeling ability.
- Full-stack capability with React and TypeScript for product-quality user interfaces.
- Experience testing, evaluating, and monitoring AI systems in production.
- Experience leading technical teams or acting as a force multiplier across engineering.
- Preferred: experience with AI/ML systems, agent architectures, LLM integration, model evaluation, AI pipelines, multi-agent systems, agentic workflows, or AI orchestration layers.
- Preferred: data engineering experience with large-scale data pipelines and cloud infrastructure using infrastructure as code.
- Preferred: background in quantitative finance, financial planning, wealth management technology, or AI systems in regulated industries, including compliance, auditability, or explainability.
Benefits
- Competitive cash compensation and meaningful equity.
- 100% employer-paid medical, dental, and vision coverage, plus disability coverage.
- Flexible paid time off and paid parental leave.
- Catered meals.
- Based in New York City at The Spiral in Hudson Yards, with four days per week in the office.
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.