Jobs · Engineering · New York

Architect, Applied AI Engineering

Icertis · New York, NY · 1 mo ago
On-siteEngineering$200k/yrFull-time

About the role

Job Description At Icertis, we’re transforming how enterprises manage contracts by applying AI to make them more intelligent, actionable, and impactful across the business. With the acquisition of Dioptra, we are accelerating this vision by integrating advanced AI agents that fundamentally change how contracts are reviewed, analyzed, and understood. Together, Icertis and Dioptra are delivering an AI-first contracting experience used by some of the world’s largest and most complex enterprises.

Responsibilities

  • Report directly with Dioptra’s founders as part of a small, highly focused product and engineering group
  • Build and evolve front-end experiences that bring powerful AI capabilities to life for end users
  • Design intuitive, high-quality interfaces used by global enterprises such as Microsoft, Johnson & Johnson, and Mercedes-Benz
  • Have meaningful ownership and influence over the user experience and product direction
  • Join the enterprise legal technology market at a pivotal moment, with the opportunity to shape how AI is applied at scale

Qualifications

  • You have 5+ years in full-stack development, covering both front-end and back-end technologies.
  • Experience working at a startup is a plus
  • You are comfortable working on challenging problems, in ambiguous, rapidly changing environments.
  • You want to have a large impact on the business as an early member of the team.
  • You are using AI coding tools (cursor / codex) on a daily basis
  • You have professional experience with the following technologies (must haves): client and server-side JavaScript/TypeScript, react, Python, SQL, databases, CI/CD, git, Gen AI models from OpenAI / Anthropic

Pay

Salary Range And Description Min $200,000 - Max $300,000 USD per year We are considering Engineers at various levels based on experience, thus the broad base salary range. Pay offered will vary

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