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Senior AI Engineer

Формат работы
hybrid
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
Senior AI Engineer (Python/GCP Vertex AI): Building AI platform capabilities, MCP services, enterprise integrations, and production AI solutions for healthcare payer applications with an accent on machine learning, deep learning, and scalable system architecture. Focus on deploying and evaluating reliable AI models, translating business workflows into automation, and mentoring engineers on complex AI implementations.

Location: Fully remote within the USA; final interviews are required at the Chattanooga, Tennessee headquarters.

Company

hirify.global provides health insurance and healthcare services, with this role supporting core payer applications.

What you will do

  • Lead the ideation, development, and productionalization of AI solutions for healthcare payer use cases.
  • Design and implement AI models, algorithms, platform capabilities, MCP services, and enterprise integrations.
  • Deploy scalable AI systems and model-serving code in production cloud environments.
  • Partner with product teams and business stakeholders to translate workflows into AI-enabled automation.
  • Define model evaluation and validation frameworks covering accuracy, reliability, fairness, and performance.
  • Advise internal lines of business and mentor junior engineers on AI development and system design.

Requirements

  • Must be based in the USA; final interviews at the Chattanooga headquarters are required.
  • Visa sponsorship is not available.
  • Bachelor’s degree in STEM or a related field, or equivalent work experience.
  • At least 5 years of relevant experience and 3+ years of hands-on machine learning, deep learning, or AI model experience.
  • Expert Python skills and experience with machine learning, deep learning, NLP, large datasets, and data science pipelines.
  • Experience deploying and managing machine learning models in cloud environments; GCP Vertex AI is preferred, with AWS SageMaker or Azure ML also accepted.

Nice to have

  • Master’s or PhD in Computer Science, AI, Machine Learning, or a related field.
  • Experience with LLMs, diffusion models, Hugging Face Transformers, AI agents, MCP, or tool calling.

Culture & Benefits

  • Fully remote work arrangement within the USA, with required final interviews in Chattanooga.
  • High-visibility role supporting mission-critical healthcare applications.
  • Opportunity to influence enterprise AI adoption and process automation.
  • Employee position with a focus on technical leadership, collaboration, and mentorship.

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