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11 часов назад

Principal AI Engineer (Agentic AI)

172 200 - 236 900$
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
Principal AI Engineer (Agentic AI): Building secure, scalable, production-ready autonomous AI applications and platform services with an accent on LLM integration, RAG, cloud-native infrastructure, and Python backend engineering. Focus on designing enterprise agentic AI architecture, deploying and monitoring machine learning systems, and building reliable developer tooling, APIs, and CI/CD automation.

Location: Hybrid work with three days per week in-office at one of the designated U.S. Tech Market locations: Louisville, KY; New York City, NY; Dallas, TX; Boston, MA; or Washington, D.C.

Salary: $172,200–$236,900 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare company providing insurance and healthcare services to millions of people through hirify.global and CenterWell.

What you will do

  • Lead enterprise architecture for secure, scalable, and reliable agentic AI applications.
  • Build production-ready autonomous AI applications in collaboration with engineering and data science teams.
  • Develop Python backend APIs and services for agentic AI platform functionality and data management.
  • Build developer tools, CI/CD pipelines, and automation for application development and deployment.
  • Manage cloud-based AI services, Kubernetes infrastructure, security controls, and observability systems.
  • Set engineering standards, mentor peers, and guide innovation aligned with the AI technology roadmap.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
  • 10+ years of professional software or platform engineering experience.
  • Deep Python expertise, including production services and shared libraries.
  • Hands-on experience with LLM integration, RAG, embeddings, and applied generative AI patterns.
  • Machine learning engineering experience covering model deployment, monitoring, evaluation, and lifecycle management.
  • Expertise in FastAPI, Flask, REST or gRPC service design, cloud-native development, Docker, and Kubernetes, including at least five years of containerization and orchestration experience.

Nice to have

  • Experience with LangChain, LlamaIndex, PydanticAI, or similar generative AI tooling.
  • Knowledge of PyTorch or TensorFlow.
  • Experience with distributed systems such as Akka or Flink.
  • Experience building platforms rather than one-off applications.
  • Pragmatic decision-making focused on maintainability and long-term value.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • 401(k) retirement savings plan.
  • Paid time off, company and personal holidays, and paid parental and caregiver leave.
  • Short- and long-term disability coverage and life insurance.
  • Home or hybrid employees must maintain at least 25 Mbps download and 10 Mbps upload internet service.
  • Dedicated home workspace required to protect member PHI and HIPAA information.

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