NYC

NYC

Software Engineer, Applied AI

New York City · Staff+

Sponsorship not specified$190k-$250kDetected 22 days ago
TypeScriptPythonReactPostgreSQLRedisDockerMachine LearningData AnalysisData ScienceLLMsAgentic AIA/B TestingCompensationResearchProblem Solving

About the role

  • About Norm Ai Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.
  • 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.

Responsibilities

  • 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.
  • Build comprehensive benchmarks and evaluation suites to measure AI agent performance and guide future improvements to the platform.
  • Develop a legal and compliance domain expertise to assist with all of the above.

Skills

  • 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.
  • 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

Compensation

  • The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position.

Benefits

  • $190,000 -$250,000 per year + equity
  • $240,000 - $280,000 per year + equity
  • 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.
  • Enable continuous learning in our AI agents through memory, feedback, and client-specific preferences.
  • 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.
  • We embrace a flexible hybrid model, typically in-office 3-4 days per week.

This listing is sourced directly from NYC's careers page and normalized into a canonical job model.