Software Engineer, Platform (Senior/Staff)
$190k - $260k USD
About Norm Ai
Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.
Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.
We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.
Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.
AI Fluency:
Norm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.
Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.
This Role
As a Software Engineer on Platform at Norm Ai, you will architect and build reliable, scalable systems that power our AI-driven compliance platform. You'll work at the intersection of infrastructure, security, and AI operations, building foundational services that enable both our platform reliability and our product teams' velocity. You'll have significant input into our technical architecture and the freedom to propose and implement improvements across our entire stack.
You Will:
Design and implement core platform services such as secure and scalable file handling, distributed job processing, and outage-resilient LLM provider integrations
Implement comprehensive observability and security controls across our platform
Create tools and processes to improve developer productivity and deployment efficiency
Establish best practices for service reliability, testing, and documentation
Mentor other engineers on infrastructure and platform development
Skills & Experience - Core
4+ years of experience as a software/backend engineer (or other similar role)
Strong proficiency in developing cloud-native containerized applications in at least one programming language commonly used for backend development (e.g., Python, Java, Rust, C++, etc.). We primarily use Python.
Track record of building reliable and scalable backend systems
Proficiency with data storage technologies such as PostgreSQL and Redis
Experience with observability tools such as Datadog or OpenTelemetry
Comfort with at least one of the major cloud providers (AWS, GCP, Azure)
Comfort with designing and maintaining CI/CD pipelines using tools like Github Actions
Skills & Experience - Pluses
Experience in AI/ML infrastructure and tooling
Background working on complex compliance or regulatory systems
Familiarity with serverless architectures
Familiarity or experience navigating common Enterprise requirements such as SAML, SSO, 17a-4, etc.
What Success Looks Like - 30 Days
Norm Ai platform onboarding: Rapidly familiarize yourself with Norm Ai's existing infrastructure, architecture, and the unique challenges of our AI-driven compliance solutions.
Architectural analysis: Identify key areas for improvement in existing foundational services and other aspects of Norm Ai’s architecture.
Monitoring & Alerting: Implement some essential improvements to our monitoring and alerting systems to provide visibility into the health and performance of our infrastructure.
What Success Looks Like - 60 Days
Improve end user experience: Based on pain points you observe over the first few weeks, design and implement an enhancement to a core platform service, such as improving the efficiency of our distributed task queue for compliance checks.
Documentation & best practices: Contribute to internal documentation by creating or significantly improving documentation for a key platform component in a way that helps both engineers’ and their AI coding tools better contextualize their understanding of the codebase.
What Success Looks Like - 90 Days
Enhance platform scalability: Dive deep into the code for our DSL execution engine and propose a redesign that enhances its scalability by breaking the execution into smaller atomic chunks.
Mentorship & knowledge sharing: Begin mentoring other engineers on best practices by leveraging your years of experience in other roles in a way that improves their productivity, enhances their understanding, and fosters better team collaboration.
Comp and Benefits
$190,000 - $260,000 a year plus equity.
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.
We embrace a flexible hybrid model, typically in-office 3–4 days per week.
If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.
To learn more about Norm Ai, visit our website.