Applied AI Software Engineer

• 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

Benefits

• Competitive salary and equity
• 401(k) plan with a highly competitive employer matching contribution
• Top-tier health, dental, hospital, accident and vision insurance
• Free lunch provided when working from the office
• Paid parental leave
• Relocation reimbursement to move to NYC
• State bar fee reimbursement- Willingness to work with frontend technologies (Typescript, react, etc) when required
• Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis
• Experience in AI/ML infrastructure and tooling
• Interest in becoming a regulatory domain expert and working closely with legal and regulatory professionals
• 4+ years of experience as a Software Engineer, ML engineer, or Data Scientist
• 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 with context engineering and memory in the context of AI agents
• Experience modeling uncertainty in ML systems
• Experience deriving insights from PDFs and other unstructured or semi-structured data types