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Software Engineer, Full Stack

$190k - $250k

Norm AI

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. This Role We are hiring Software Engineers at Senior to Staff levels. As a Software Engineer, Full Stack at Norm Ai, you'll work across all aspects of our code stack, building intuitive tools transforming legal workflows. You'll partner closely with design, client engagement, other engineering teams, and end users to bring new product ideas to life. How You’ll Work Software Engineers at Norm typically align to one of two areas. Product engineers own the associate, partner, and operations‑facing surfaces of our enterprise application: the workflows, UI, and AI‑powered features that make the product indispensable to the Norm Law teams. Backend engineers focus on the shared components and systems leveraged by our product engineering teams, building highly scalable, reusable, and fault‑tolerant services, including document processing, AI orchestration, and integration pipelines, in close collaboration with our AIRE and Platform teams. Skills & Experience - Core Bachelor’s or Master’s in computer science or an equivalent field, or equivalent practical experience 4+ years of experience writing application‑layer Python for production use 2+ years of experience writing React + TypeScript, or similar, for production use Experience working with a Postgres database or similar Experience writing APIs using a framework such as FastAPI or similar for production use Interest or experience working with a complex AI‑driven product (e.g. streamed outputs, dynamic agentic site navigation) Interest or experience working with PDFs, Excel, or file‑driven products Skills & Experience - Pluses Experience dealing with database scaling problems Experience building highly configured or abstracted UIs tied to editable schemas stored in a database Experience working with AWS infrastructure or similar Experience working at an early‑stage startup Excited to work on product and iterate with customers Comp and Benefits Senior Engineer: $190,000 -$250,000 per year + equity. Staff Engineer: $240,000 - $280,000 per year + equity. The range displayed reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by job‑related skills, experience, and relevant education or training. This range reflects base salary only and does not include equity or benefits. We offer a competitive compensation package including equity, a 401(k) with employer match, and comprehensive insurance (health, dental, hospital, accident, and vision). We provide relocation reimbursement for candidates moving to NYC. We operate in a flexible hybrid model, typically in‑office 3–4 days per week. To learn more about Norm Ai, visit our website. #J-18808-Ljbffr

Vacancy posted 1 day ago
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