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Applied AI Engineer

180 000 - 250 000$
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

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TL;DR
Applied AI Engineer (Generative AI): Building and scaling production-grade AI workflows, REST APIs, integrations, and healthcare applications with an accent on agentic workflows, automation pipelines, and LLM integration. Focus on deploying scalable workflow infrastructure, evaluating state-of-the-art models, and solving complex healthcare automation challenges at production speed.

Location: Palo Alto, United States — hybrid

Salary: $180,000–$250,000 per year, plus equity and benefits.

Company

hirify.global builds generative AI infrastructure for healthcare, including governance guardrails, healthcare-specific agent creation, and real-time algorithm monitoring.

What you will do

  • Develop and deploy agentic workflows and automation pipelines, representing approximately 60% of the role.
  • Build and maintain production-ready services, REST APIs, and integrations.
  • Design, deploy, and scale AI-powered applications across multiple product lines.
  • Evaluate and integrate LLMs from OpenAI, Anthropic, Mistral, and other providers into production use cases.
  • Collaborate with product, engineering, and design to deliver end-to-end AI features.
  • Help build scalable workflow infrastructure supporting more than 100 workflows.

Requirements

  • Strong software engineering foundation with solid coding practices and required Python experience.
  • Recent experience building AI-powered applications using ChatGPT, Claude, Anthropic, Mistral, or similar tools.
  • Hands-on experience developing REST APIs and deploying services to cloud environments, with GCP preferred.
  • Understanding of MLOps, model deployment, or workflow automation in production systems.
  • Ability to work in a hybrid setup in Palo Alto, United States.

Nice to have

  • Bachelor’s degree with 4 years of experience or Master’s degree with 2 years of experience in Computer Science, Engineering, or a related field.
  • Transition from software engineering into machine learning.
  • Experience with agentic workflows, prompt tuning, evaluation pipelines, or automation frameworks.
  • Startup experience and a demonstrated ability to ship quickly in ambiguous environments.
  • Exposure to both startup agility and big-tech engineering rigor.

Culture & Benefits

  • Mission-driven work focused on transforming healthcare with AI.
  • Fast-growing environment with a category-defining product and founding-team opportunities.
  • Competitive salary with equity packages.
  • Medical, dental, and vision insurance.
  • Flexible working hours and hybrid work options.
  • Inclusive environment supporting creativity and innovation.

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