Software Engineer, Backend Developer, AI Engineer (Applied​/Software)

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.

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.

• 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…