Norm AI, Inc
About Norm Ai
Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.
We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.
By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $30 Trillion in AUM, and growing quickly.
Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.
We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.
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. 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: 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 agent performance and guide future improvements to the platform. Develop new AI workflows and systems that make cutting-edge AI available across our platform. Architect the system of underlying prompts that power our agents, engineering effective context structures and automated pipelines for prompt optimization. Enable continuous learning in our agents through memory, feedback, and client-specific preferences. Develop legal and compliance domain expertise to assist with all of the above. Skills & Experience - Core 4+ years of experience as a software engineer, ML engineer, or data scientist Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis 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 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 Skills & Experience - Pluses 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
$200,000 - $275,000 a year
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 .
Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.
We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.
By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $30 Trillion in AUM, and growing quickly.
Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.
We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.
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. 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: 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 agent performance and guide future improvements to the platform. Develop new AI workflows and systems that make cutting-edge AI available across our platform. Architect the system of underlying prompts that power our agents, engineering effective context structures and automated pipelines for prompt optimization. Enable continuous learning in our agents through memory, feedback, and client-specific preferences. Develop legal and compliance domain expertise to assist with all of the above. Skills & Experience - Core 4+ years of experience as a software engineer, ML engineer, or data scientist Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis 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 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 Skills & Experience - Pluses 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
$200,000 - $275,000 a year
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 .