Sofware Engineer, Applied AI at Greenlite (S23)
AI agents for financial compliance
San Francisco, CA
Full-time
US citizen/visa only
About Greenlite

We work in-person at our San Francisco office five days a week, believing the best ideas and fastest learning happen through side-by-side collaboration. We challenge each other daily and build innovative products together.

Greenlite builds AI agents that help financial services companies manage risk and compliance and fight financial crime. We serve major clients like Ramp, Mercury, and other major U.S. financial institutions, helping them grow while maintaining financial system integrity. Backed by Greylock, Y Combinator, and Thomson Reuters, we're among the fastest-growing AI companies globally.

We value people who:

Take action quickly, learning by doing rather than seeking perfection

Think boldly to reimagine financial services

Deeply understand customer needs to build elegant solutions

Show potential and continuous growth, not just experience

We've brought together exceptional builders from Palantir, SpaceX, Stripe, Airbnb, Meta, Uber, and Databricks to tackle financial system challenges. Our AI agents fight financial crime by automating suspicious activity investigations, entity due diligence, and regulatory reporting, helping banks and fintechs protect the integrity of the global financial system.

Our team combines technical excellence with practical problem-solving, low-ego collaboration, relentless curiosity, and autonomous work. We're seeking diverse perspectives that elevate our collective capabilities. Greenlite is an equal opportunity employer welcoming applicants from all backgrounds.

About the role

As an Applied AI Engineer at Greenlite, you'll push the boundaries of what's possible with large language models in financial compliance. You'll develop innovative approaches to financial crime detection using leading AI techniques and translate them into production-ready systems. You'll focus on improving our core AI capabilities, working at the intersection of research and practical application.

You'll work on:

  • Build AI agents for regulated use cases. Design novel agentic workflows, improve prompt engineering, and optimize retrieval-augmented generation (RAG) systems to enhance Greenlite’s core operational capabilities.

  • Create robust evaluation and feedback frameworks. Build systems to rigorously measure, monitor, and improve AI performance, ensuring our solutions meet the demanding accuracy and reliability standards of the financial industry.

  • Translate cutting-edge research into production-grade solutions. Turn the latest advancements in applied AI into scalable, high-impact systems that operate seamlessly in live customer environments.

Minimum Requirements:

  • 4+ years of software engineering experience with focus on AI/ML

  • Understanding of modern language models and their applications

  • Experience working with agentic workflows and tools for agents

  • Knowledge of retrieval-augmented generation and vector search

  • Familiarity with AI eval techniques

  • Strong problem-solving skills and comfort with ambiguity

Our Applied AI Engineers are at the forefront of AI agents — transforming cutting-edge research into practical, high-impact solutions. You’ll work directly with state-of-the-art language models, retrieval systems, and agent frameworks to push the boundaries of what AI can achieve in financial compliance.

This isn’t a purely research or theoretical role. At Greenlite, you’ll turn advanced AI techniques into production-grade systems that deliver tangible value for financial institutions, helping them detect and prevent financial crime at unprecedented speed and scale. If you’re passionate about advancing the state of AI and transforming breakthrough research into meaningful, real-world applications, we’d love to hear from you.

Total Rewards

  • Comprehensive healthcare options

  • 401k with matching

  • Commuter benefits

  • 15 days PTO + company holidays

  • Unlimited sick/mental health days

  • Flexible leave options

We compensate employees based on their skills, experience, and qualifications. The salary range for this role is $140k - $250k annually + equity.

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