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Monstro

Governed AI infrastructure for financial decision-making

Senior Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

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 track record 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.
  • Relational database fluency and data modeling skills.
  • Full-stack range, including the ability to build product-quality React and TypeScript user interfaces when needed.

Responsibilities

  • Architect and build AI agent systems, including multi-agent workflows, orchestration layers, and infrastructure that makes them reliable and auditable in production.
  • Experiment with modern AI models, tools, and development patterns, and turn effective approaches into robust production software at the core of the product.
  • Design modeling and reasoning systems that meet financial-services correctness and explainability requirements, ensuring recommendations are traceable and defensible.
  • Build internal applications and platforms using Python and React that enable domain experts and engineers to author, validate, and deploy AI-powered analysis at scale.
  • Document decisions, ensure sufficient test coverage, and generate AI-native artifacts to share work with others.
  • Own distributed backend infrastructure, including event-driven workers, job pipelines, and multi-stage processing systems that reliably deliver AI outputs 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, including schema design, API contracts, system boundaries, and service architecture.
  • Contribute to full-stack application development.

Desired Qualifications

  • Hands-on experience with AI/ML systems, including agent architectures, large language model integration, model evaluation, or production AI pipelines.
  • Experience defining approaches to testing, evaluating, and monitoring AI systems in production.
  • Experience designing multi-agent systems, agentic workflows, or AI orchestration layers.
  • Data engineering experience developing data pipelines that handle big data.
  • Experience contributing to cloud infrastructure using infrastructure as code.
  • Background in quantitative finance, financial planning, or wealth management technology.
  • Experience leading technical teams or acting as a force multiplier across engineering.
  • Experience building AI systems in regulated industries such as financial services, healthcare, or legal, or working with compliance, auditability, or explainability requirements.

About the Company

Monstro

Governed AI infrastructure for financial decision-making

Monstro provides infrastructure for governed financial AI by unifying governance, structured intelligence, and execution into a single system. It enables financial institutions to deploy AI with reliability and accountability in regulated settings, including real-time risk and customer insights. This supports more personalized and responsible experiences across wealth, banking, and advisory contexts. The goal is to be foundational AI infrastructure for regulated industries, starting with financial services and expanding globally.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
West Palm Beach, FL
Founded
2019

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