About Norm Ai
Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.
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. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.
Norm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.
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.
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 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
Senior Engineer: $190,000 -$250,000 per year + equity
Staff Engineer: $240,000 - $280,000 per 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.
Skills Required
- 4+ years of experience as a software engineer, applied AI engineer, ML engineer, or data scientist
- Strong programming skills in Python
- Proficiency with Docker
- Experience with data storage technologies such as Postgres
- Experience with Redis
- Experience working with production systems, including debugging, monitoring, and iterating on live software
- Willingness to work with frontend technologies (TypeScript, React) to productize research
- Experience in AI/ML infrastructure and tooling
- Experience integrating AI or ML components into real-world systems (LLMs, classical ML, or hybrid approaches)
- Strong reading, writing, and quantitative skills and a data-driven approach to problem solving
- Ability to build and integrate LLM-backed workflows (prompt systems, retrieval, memory, evaluation, feedback loops) and construct benchmarks/evaluation suites
Norm Ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Norm Ai and has not been reviewed or approved by Norm Ai.
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Fair & Transparent Compensation — Employer-provided ranges on public job postings indicate clear, competitive bands for senior engineering, data science, and other roles, alongside consistent mentions of competitive salary plus equity. Posted compensation signals align with strong market positioning for New York–based AI and legal-tech roles cited in the materials.
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Retirement Support — A 401(k) plan with a highly competitive employer match is emphasized, with some postings describing the match as at or near the maximum allowed. This positioning highlights retirement benefits as a notable strength within the total-rewards package.
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Healthcare Strength — Benefits are described as top-tier medical, dental, and vision, with additional hospital and accident coverage noted in postings. The breadth of offerings suggests robust healthcare support for a growth-stage startup.
Norm Ai Insights
What We Do
Norm Ai, the Legal Infrastructure for AI agents, has a client base with a combined $30 trillion in assets under management. Norm's platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise. We pair elite attorneys with AI engineers who deeply understand the domain they're automating.
Why Work With Us
Norm Ai pioneered the idea of the legal engineer in 2023. We started as a compliance AI company, and that work taught us something the rest of the industry missed: generic AI doesn't hold up against real regulatory and legal complexity. In November 2025 we launched the very first agentic AI law firm, Norm Law, now powered by Norm AI.







