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4 дня назад

Advanced Software Engineer (AI)

103 000 - 155 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Advanced Software Engineer (AI): Building full-stack agentic features for Gavel, a Microsoft Word-native legal AI surface, with an accent on LLM agents, evaluation, APIs, and React-based interfaces. Focus on designing tool-using systems, interpreting agent evaluations, improving reliability, and shipping cloud-native features through feature-flagged deployments.

Location: Remote within the United States, or hybrid/onsite in Seattle or Chicago

Salary: $103,000–$155,000 per year, plus annual performance bonus and long-term incentives

Company

hirify.global builds cloud-based legal data intelligence software that helps law firms, corporations, and government agencies organize information and support litigation, investigations, regulatory inquiries, and data breach responses.

What you will do

  • Build full-stack features for Gavel Exec, including agent tools, prompts, context, services, API endpoints, and front-end functionality in the Microsoft Word add-in and web app.
  • Develop and interpret evaluations for agentic systems, ship changes behind feature flags, and monitor production outcomes.
  • Improve reliability by fixing bugs, adding tests, and investigating how agentic systems fail.
  • Use small commits, feature-flagged deployments, fast rollbacks, and modern agentic engineering tools.
  • Pair with Senior and Lead engineers on design and code reviews while taking on increasingly ambiguous problems.

Requirements

  • 2+ years of professional software development experience or equivalent demonstrated ability.
  • Working proficiency in TypeScript or Python and hands-on experience with full-stack web applications, React or similar front-end development, services, and relational databases using SQL.
  • Experience building an agentic solution with LLMs, such as an agent, retrieval-augmented generation application, or tool-using assistant.
  • Ability to explain system prompts, tool calls, embeddings, and common agent failure points.
  • Basic familiarity with AWS, Azure, or GCP, containers, and CI/CD, plus strong data structures, algorithms, and testing fundamentals.
  • Clear written and spoken English is required.

Culture & Benefits

  • Work on AI-powered, cloud-native systems processing large volumes of legal data.
  • Collaborate in a small, founder-led Gavel team focused on knowledge sharing and continuous improvement.
  • Receive competitive benefits, discretionary time off, parental leave, and an equity program.
  • Gain opportunities for end-to-end ownership across cloud and distributed systems.

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