Staff Software Engineer

About the Role

We're looking for a Staff Software Engineer to support our AI application development 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
• Work at the edge of what's possible with modern AI - rapidly evaluating new models, tools, and development patterns, and setting the technical direction for turning the most promising capabilities into robust production systems.
• 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 applications and platforms (Python/React) that enable domain experts and engineers to author, validate, and deploy AI-powered analysis at scale
• Document your decisions, ensure sufficient test coverage and generate AI native artifacts to share your work with others
• 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
• Contribute to full stack application development
• Lead engineering initiatives across team members and cross functional partners
• Establish and promote engineering and architecture best practices and the adoption of new AI technologies and techniques
• Mentor senior engineers and raise the engineering bar across the organization

What We're Looking For

• 8+ years of engineering experience, with a track record of leading complex systems from design to production.
• Deep curiosity about where AI-native software is heading, with the technical judgment to separate promising new capabilities from hype and help shape how emerging approaches are adopted across the engineering organization.
• Hands-on experience designing, building, and shipping production software systems using AI development tools, especially AI-powered software
• Strong software engineering skills and experience with a demonstrated track record contributing to best practices application architecture
• Python expertise - async services, type-safe code, and systems that scale
• 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
• Experience leading technical teams or acting as a force multiplier across engineering

Preferred but not required

• Hands-on experience with AI/ML systems - agent architectures, LLM integration, model evaluation, or AI pipelines in production
• Opinionated about how AI systems should be tested, evaluated, and monitored in production
• Experience designing multi-agent systems, agentic workflows, or AI orchestration layers
• Data engineering experience developing data pipelines handling big data
• Experience contributing to cloud infrastructure using infrastructure as code
• Background in quantitative finance, financial planning, or wealth management technology
• Experience building AI systems in regulated industries (financial services, healthcare, legal) or with compliance, auditability, or explainability requirements

Why Monstro?

• Impact: Build technology that helps millions of people make better financial decisions, through the institutions they already trust, and help define the category of Financial Intelligence.
• Ownership: High trust, high ownership, high standards. You will own meaningful problems end to end from day one.
• Experienced team: Work with leadership that has a track record of scaling companies from early stage to major exits.
• Principles-driven culture: We move fast, because the opportunity is urgent. We communicate directly, because clarity saves time. We hold a high standard, because institutions and clients need to trust what we build.
• In person, in New York: We are headquartered at The Spiral in Hudson Yards and work in the office four days a week, because our pace depends on fast collaboration.
• Compensation and benefits: Competitive cash compensation and meaningful equity, plus 100% employer-paid medical, dental, and vision coverage, disability coverage, flexible PTO, paid parental leave, and catered meals.

Base Compensation Range (New York City): $224,000 - $264,000

Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws.

A Note on Interviewing:We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application; otherwise we'll take your application as confirmation that you're happy for us to use note-takers (whether added to video calls or in the background).
Ready to Build With Us?

The standard is simple: do great work, own the outcome, communicate with purpose, move with urgency, raise the level. If that sounds like you, we'd love to hear from you.