Applied AI Research Engineer, Norm AI
$200-250k
+ Equity
More information about location
3-4 days a week in office
Regulatory AI agents for compliance teams
Be an early applicant
Regulatory AI agents for compliance teams
1-20 employees
Be an early applicant
$200-250k
+ Equity
More information about location
3-4 days a week in office
1-20 employees
Company mission
To enable the integration of AI agents into daily life, ensuring that AI-driven business processes adhere to legal and societal norms through adoption of Regulatory AI agents as oversight.
Role
Who you are
- 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) when required
- Experience in AI/ML infrastructure and tooling
- Interest in becoming a regulatory domain expert and working closely with legal and regulatory professionals
- Strong reading and writing skills
- Strong quantitative skills that can enable a data-driven approach to problem solving
Desirable
- Experience deriving insights from PDFs and/or other unstructured or semi-structured data types
- Familiarity with the latest research in LLMs and an eagerness to adopt new model capabilities as they become available
- Background working on complex compliance or regulatory systems
What the job involves
- As an Applied AI Research Engineer at Norm Ai, you will take a methodical and holistic approach to increasing the coverage and capabilities of our automation platform
- You will collaborate closely with and act as a bridge between our software engineering, legal engineering, and product teams to design and refine our AI-driven compliance solutions
- Design and build AI-powered, enterprise-grade software to meet rapidly increasing demands
- Regularly contribute performant and high-quality code to our production codebase that conforms to the high standards of our software engineering team
- Autonomously prioritize between development velocity and long-term robustness of proposed solutions, always with a ruthless propensity for action
- Run experiments with new LLM techniques and technologies across our AI infrastructure, content processing, and regulatory workflows
- Write prompts, iterate on them, and design systems for continuous improvement
- Develop regulatory expertise that can be used as part of our LLM workflows
- What Success Looks Like - 30 Days:
- Norm Ai Integration: Rapidly familiarize yourself with Norm Ai's existing codebase, architecture, and the unique challenges of our AI-driven compliance solutions
- Within the first two weeks, we expect meaningful contributions to our production codebases
- AI Engineering: Rapidly familiarize yourself with the data flows in Norm Ai’s compliance systems and enhance the accuracy or robustness of one of our core modules
- Domain Expertise: Develop familiarity with the underlying regulations with which Norm works
- What Success Looks Like - 60 Days:
- Norm Ai Integration: Successfully optimize, implement, and deploy significant features that improve the accuracy and coverage of our automation platform
- AI Engineering: Effectively lead large-scale improvements to our AI system, including runtime optimizations and accuracy improvements
- Domain Expertise: Leverage regulatory expertise to effectively collaborate with the legal engineers and improve new and existing LLM workflows
Our take
Regulatory compliance is both critical and complex. Risks and regulations are constantly evolving, and compliance teams can struggle to keep up. This is where Norm AI steps in, with a platform to support the work of compliance teams and help them work faster, smarter and more efficiently.
The platform works by delivering regulation-aware AI agents, built specifically to handle the problems compliance teams face. The agents enable proactive compliance, supplying reports that check compliance against the most up-to-date versions of regulations such as the Clean Air Act and Social Security Act.
In the future, Norm AI hopes to expand the offering to cover all relevant laws and regulations. Its an ambitious goal, but one that is supported by a substantial amount of investment. With these funds, the company will continue to expand its platform and grow both its client base and team.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2025
$48m
EARLY VC
Jun 2024
$27m
SERIES A
Total funding: $86.1m
Company benefits
- Equity
- 401(k) with the highest match legally allowed
- Top-tier health, dental, hospital, accident and vision insurance
- Relocation reimbursement to move to NYC
- Fast-paced learning environment
Company HQ
Downtown Brooklyn, NY
Leadership
John Nay
(CEO)Fellow at CodeX, The Stanford Center for Legal Informatics. Also a Visiting Scholar in Artificial Intelligence and Law at Vanderbilt University Law School, and Co-founder and Chairman of the Brooklyn Investment Group (where they were previously CEO).
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 11 more jobs at Norm AI