Full-Stack Engineer – AI Agent Platform (Fraud, Risk & AML)

Location: Remote-first culture — work from anywhere (Palo Alto hybrid option)

Company

Building the most advanced AI Risk Decisioning Platform relied on by banks, fintechs, and digital organizations to manage fraud, credit, and compliance risk.

What you will do

• Design and build full-stack systems from backend APIs and data pipelines to interactive frontends powering next-gen AI agents.
• Implement serverless architectures using AWS Lambda and Python for high-scale event-driven processing of risk signals and fraud patterns.
• Experiment with agentic frameworks, LLM-driven automation, and reasoning systems to address fraud, risk, and AML challenges.
• Collaborate with founders and product leaders to shape the architecture and roadmap of the agentic platform.
• Ship MVPs, test hypotheses with production data, and iterate weekly.
• Apply practical AI using GenAI, embeddings, and retrieval pipelines for data storytelling, graph reasoning, and case automation.

Requirements

• 4+ years of experience as a Full-Stack or Backend Engineer (TypeScript, Python, React, Node, or similar).
• Proven ability to take products from zero to one in fast-moving environments.
• Strong understanding of distributed systems, system design, and cloud-native architectures (AWS / Kubernetes / modern CI/CD).
• Curiosity and hacker mentality — learn new tools quickly and dive deep.

Nice to have

• Experience with AWS Bedrock for building and scaling generative AI applications.
• Experience with LLM frameworks (LangGraph, Guardrails, LangChain, etc.) or building multi-agent or autonomous workflows.
• Background in financial risk, real-time decisioning, or fraud detection systems.

Culture & Benefits

• Health: 100% employer-covered comprehensive health, dental, and vision insurance (US) for you and dependents.
• Competitive salary and equity packages, including 401k.
• Unlimited PTO policy.
• Remote-first culture with family-friendly environment, regular team events and offsites.
• AI-first company with engineering and product focus; unparalleled learning opportunities.