Software Engineer, Applied AI

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.

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.
• Oversee data collection, experimentation, and data analysis to continuously improve the platform.
• Build comprehensive benchmarks and evaluation suites to measure AI agent performance.
• 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.

Skills & Experience - Core

• 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.)
• Experience in AI/ML infrastructure and tooling
• Experience integrating AI or ML components into real-world systems (LLMs, classical ML, or hybrid approaches)

Pluses

• Familiarity with and an eagerness to apply the latest AI research
• 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

Comp and Benefits
Senior Engineer: $190,000 - $250,000 a year + equity
Staff Engineer: $240,000 - $280,000 a year + equity