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 an Applied AI Engineer at Norm Ai, you will design, build, and iterate on enterprise-grade AI agents for end-to-end completion of high-stakes legal and compliance workflows. This is a hands-on engineering role focused on shipping reliable, scalable AI-driven functionality into a live enterprise platform. You’ll work closely with our software engineering, legal engineering, and product teams to bridge disciplines and expand the coverage and capabilities of our automation platform.
You Will:Build and integrate LLM-backed workflows, including prompt systems, retrieval, memory, evaluation, and feedback loops.
Develop new AI workflows and systems that make cutting-edge AI available across our platform.
Regularly contribute performant, high-quality code to our production codebase, conforming to the high standards of our engineering team.
Oversee data collection, experimentation, and data analysis to continuously improve the platform, working closely with domain experts.
Build comprehensive benchmarks and evaluation suites to measure AI agent performance and guide future improvements to the platform.
Architect the system of underlying prompts that power our AI agents, engineering effective context structures and automated pipelines for prompt optimization.
Enable continuous learning in our AI agents through memory, feedback, and client-specific preferences.
Develop a legal and compliance domain expertise to assist with all of the above.
4+ years of experience as a software engineer, applied AI engineer, ML engineer, or data scientist
Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis
Experience working with production systems, including debugging, monitoring, and iterating on live software.
Willingness to work with frontend technologies (Typescript, React, etc.) to bridge the gap between research ideas and the productization of new initiatives
Experience in AI/ML infrastructure and tooling
Experience integrating AI or ML components into real-world systems (LLMs, classical ML, or hybrid approaches)
Interest in becoming a legal and compliance domain expert and working closely with professionals in the field
Strong reading, writing, and quantitative skills, as well as a data-driven approach to problem solving
Familiarity with and an eagerness to apply the latest AI research
Experience applying traditional ML systems and processes in the context of state-of-the-art LLMs
Experience deriving insights from PDFs and other unstructured or semi-structured data types
Experience with context engineering and memory in the context of AI agents
Experience modeling uncertainty in ML systems
Comp and Benefits
Senior Engineer: $190,000 -$250,000 a year + equity
Staff Engineer: $240,000 - $280,000 a year + 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.
Top Skills
What We Do
We have developed the leading Regulatory AI platform, which is deployed across many of the largest institutions in the world.
