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9 часов назад

Staff Engineer AI/ML (AI/ML)

151 000 - 178 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Staff Engineer AI/ML (React/Node.js/AWS): Leading the architecture and technical strategy of a virtual ABA therapy platform, including full-stack systems, ETL pipelines, and production AI/ML integrations with an accent on scalability, reliability, and maintainability. Focus on mentoring engineering leads and full-stack teams, driving JavaScript-to-TypeScript migration, documenting architecture decisions, and building reliable ML model lifecycle and incident-response practices.

Location: Fully remote from anywhere in the U.S.

Salary: $151,000–$178,500 annual salary

Company

AnswersNow develops a virtual ABA therapy platform designed to make autism therapy more accessible and effective for families.

What you will do

  • Own and evolve the architecture of the React, Node.js/Express, Postgres, and AWS ECS platform.
  • Drive the migration from JavaScript to TypeScript and establish engineering standards, tooling, and development patterns.
  • Design ETL pipelines and a configuration-driven AI integration framework for reliable AI-powered features.
  • Define and execute the technical strategy for integrating ML and AI models into the platform, including scalability, performance, and reliability.
  • Lead design reviews, document architecture decisions, manage technical debt, and coordinate large technical initiatives.
  • Mentor engineering leads and engineers while improving testing, observability, production support, incident response, and hiring practices.

Requirements

  • 8+ years of professional software engineering experience, including at least 3 years at senior or staff level.
  • Deep production experience with JavaScript and TypeScript in full-stack environments.
  • Strong knowledge of React, Node.js/Express, Postgres, and AWS, including distributed systems or data pipeline architecture.
  • Significant experience architecting and deploying production-grade ML/AI systems, including LLM integration and model lifecycle management.
  • Proven technical mentorship, architecture documentation, design reviews, and communication with technical and non-technical stakeholders.
  • Must be able to work remotely from the United States and have U.S. work authorization for E-Verify employment.

Nice to have

  • Experience with healthcare or regulated data environments, including HIPAA compliance and PHI handling.
  • Knowledge of event-driven architectures, message queues, or streaming pipelines.
  • Player-coach experience, including a previous engineering manager role and return to an individual contributor track.
  • Open-source contributions, engineering blog posts, or conference talks.

Culture & Benefits

  • W-2 employee position with full-time employment.
  • Fully remote work with flexible hours.
  • Async-friendly team culture.
  • Inclusive workplace committed to fair and equitable candidate experiences.

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