Staff Software Engineer

Monstro; New York (NY); On-site; USD 224,000 - 264,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible PTO

Catered meals

Equity

Job summary

Monstro is seeking a Staff Software Engineer to lead AI-driven financial analysis systems in New York. Expect to architect production-ready AI tooling, govern outputs, and scale modeling infrastructure for a regulated industry.

You will collaborate across teams to define API contracts, data schemas, and service boundaries, while mentoring engineers and delivering robust, auditable software with a strong emphasis on governance.

Qualifications

• 8+ years of engineering experience in complex systems.
• Deep curiosity about AI-native software and practical adoption.
• Hands-on experience shipping production software with AI development tools.
• Strong software engineering practices and architecture.
• Proficiency in Python; async services and scalable systems.
• Solid distributed systems fundamentals and data modeling.
• Full-stack capabilities with React/TypeScript when needed.
• Experience leading technical teams or as a multiplier across engineering.

Responsibilities

• Architect and ship AI agent systems and auditable production infrastructure.
• Evaluate new models and tools, setting technical direction for production readiness.
• Design modeling and reasoning systems with traceability for financial services.
• Build internal applications and platforms (Python/React) to enable validation and deployment of AI-powered analysis.
• Document decisions, ensure test coverage, and generate AI artifacts for sharing.
• Own distributed backend infrastructure including event-driven workers and pipelines.
• Establish patterns for AI output validation, QA, and compliance guardrails.
• Drive architectural decisions across teams and contribute to full-stack development.
• Mentor senior engineers and raise the engineering bar across the organization.

Skills

AI systems

Python

React

TypeScript

Distributed systems

Event-driven

Data modeling

Leadership

Job description

Monstro provides the AI-powered Financial Intelligence System for regulated financial institutions. It enables banks and wealth managers to deliver continuous, personalized, governed Financial Guidance to every client, not just the top tier, across their entire financial life: saving, borrowing, investing, planning, protecting, and preparing.

Meaningful Financial Guidance has only ever been available to a small portion of people. We are changing that, through the institutions people already trust. Institutions already have the relationships, the data, and the context to understand each client; Monstro turns that understanding into guidance that helps each person understand, decide, and act. For clients, that means clearer decisions, proactive support when life changes, and a better view of their financial lives. For institutions, it means deeper relationships, more clients served consistently, and more of each client’s financial life managed in one place.

What makes this possible is how the system is built. Governance is not an added feature; it is foundational. Every recommendation reflects the institution’s own views, policies, and permissions. Every output can be audited, traced, and reversed, and client data stays under the institution’s control. Generative AI is used to build and configure the system; at runtime, execution is deterministic, so every output can be explained and stood behind, not just trusted.

The work

We are building for a high-stakes industry where the work has real consequences. Guidance only matters if people can trust it and institutions can govern it. The challenge is to make Financial Guidance more personal and more available without making it less trusted: to build AI that institutions can audit, explain, and reverse, in a domain where being wrong carries real cost. That is what makes the problem hard, and the work meaningful. This is not a simple AI problem; it takes product judgment, technical depth, regulatory discipline, design quality, and a team that moves quickly without lowering the bar.

Monstro is moving from vision to market: launching with financial institutions, growing the team, and building for the enterprise in one of the most regulated industries. You will be expected to think clearly, communicate directly, move with urgency, hold a high standard, and take responsibility for work that matters. We are an early team building something ambitious, and what you do here will shape both the product and the company.

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
• 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).

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As set forth in Monstro’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.