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обновлено 19 дней назад

Staff Software Engineer, AI/ML

220 000 - 300 000$
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

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TL;DR
Staff Software Engineer (AI/ML): Designing, building, and deploying end-to-end AI-powered solutions using AI models and modern orchestration techniques with an accent on turning rich healthcare data into actionable insights and intelligent workflows. Focus on experimentation, fine-tuning, training from scratch when needed, and deployment in production environments.

Location: New York, NY, or remote within the US via hub cities including San Francisco/Bay Area, Seattle, Boston, Washington, DC, and Chicago. New York-based employees work onsite three days per week; employees in other listed hub cities attend monthly Work Together Days.

Base salary: $220,000–$300,000 per year, plus equity and benefits.

Company

hirify.global provides virtual healthcare for women and families through employer, health plan, and consumer platforms.

What you will do

  • Design, build, and deploy AI-powered healthcare solutions using foundation models, RAG, multi-call prompting, and agent frameworks.
  • Turn healthcare data into actionable insights and intelligent workflows for members and providers.
  • Develop scalable ML pipelines and platform components for experimentation, fine-tuning, training, evaluation, and production deployment.
  • Prototype and productionize AI features for personalization, care routing, decision support, and summarization.
  • Lead architecture discussions and technical decisions across AI/ML systems, while mentoring engineers and data scientists.
  • Evaluate emerging LLM and applied AI capabilities for integration into the platform.

Requirements

  • At least 8 years of experience in backend development, platform architecture, and ML/AI platforms or products.
  • Experience building AI applications with foundation models and orchestration techniques, or experience across the data science lifecycle.
  • Experience integrating and deploying foundation models through OpenAI, Google Vertex AI, or similar platforms.
  • Experience working with health-related datasets and understanding user behavior, care journeys, health profiles, and provider interactions.
  • Fluency in Python plus backend or platform engineering experience in another language such as Go or Java.
  • Experience with cloud-native systems, distributed systems, data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment.

Nice to have

  • Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience.
  • Experience with LangChain, vector search, agents, or training models from scratch.

Culture & Benefits

  • Flexible hybrid work model with remote work available from designated US hub cities.
  • Employer-covered health, dental, and insurance plan options for eligible US-based full-time employees.
  • Access to Maven healthcare services, wellness partnerships, and professional development support.
  • Sixteen weeks of fully paid parental leave and a new-parent stipend after one year of employment.
  • 401(k) matching with immediate vesting for US-based employees.

Hiring process

  • Interview requests and job offers originate only from an @mavenclinic.com email address.

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