Logo Optomi

[Remote] GenAI Engineer (Azure Cloud, Azure AI Foundry, LangGraph, RAG, Healthcare - Epic/FHIR) - 100% Remote - W2 Contract

Optomivia Jobright
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Salário Estimado

R$ 12.000,00 - R$ 13.600,00

0de 100

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Descrição da Vaga

Note: The job is a remote job and is open to candidates in USA.


Optomi, in partnership with a leading not-for-profit healthcare system serving communities across the Carolinas, is seeking a GenAI Engineer to fulfill a contract-to-hire with a client based in the Carolinas.


This role is focused on building real, production-grade AI solutions that are embedded directly into healthcare applications used by clinicians, care teams, and patients every day.


Responsibilities • Designing, building, and deploying Generative AI and Machine Learning solutions that improve patient experience, streamline clinical workflows, and operate safely within a highly regulated healthcare environment

Building production AI solutions that are used every day by clinicians and patients • Applying Generative AI and LLMs in a real healthcare setting, directly improving patient access, communication, and clinical workflows
Working on meaningful problems where safety, privacy, and reliability genuinely matter • Leveraging LLMs, RAG architectures, conversational AI, and cloud-native platforms within Azure Skills
Previous experience in traditional application development • Strong full-stack engineering background, with the ability to work across modern backend and frontend technologies
Proven experience as an AI Engineer (or similar role) building applications with Generative AI and Machine Learning • Experience working with LLMs, RAG architectures, and AI-driven services in production
Familiarity with the Azure ecosystem, including Azure OpenAI / Foundry; Databricks experience is a plus • Solid coding skills, with an expectation that you actively leverage AI tools to write and improve code efficiently (this will be discussed during interviews)
Strong analytical and problem-solving skills, with the ability to translate business needs into scalable technical solutions • Excellent communication skills and comfort collaborating with cross-functional teams
Experience building or integrating healthcare-related applications is preferred; direct Epic integration experience is a strong plus Company Overview • OPTOMI is an IT staffing firm that serves its consultants, clients, and employees through its consultant-focused approach.

It was founded in 2012, and is headquartered in Roswell, Georgia, USA, with a workforce of 501-1000 employees.


Its website is http://www.optomi.com/.


Company H1B Sponsorship • Optomi has a track record of offering H1B sponsorships, with 7 in 2025, 6 in 2024, 2 in 2023, 5 in 2022, 8 in 2021, 7 in 2020.


Please note that this does not guarantee sponsorship for this specific role.

Requisitos

  • Previous experience in traditional application development
  • Strong full-stack engineering background, with the ability to work across modern backend and frontend technologies
  • Proven experience as an AI Engineer (or similar role) building applications with Generative AI and Machine Learning
  • Experience working with LLMs, RAG architectures, and AI-driven services in production
  • Solid coding skills, with an expectation that you actively leverage AI tools to write and improve code efficiently (this will be discussed during interviews)
  • Strong analytical and problem-solving skills, with the ability to translate business needs into scalable technical solutions
  • Excellent communication skills and comfort collaborating with cross-functional teams

Responsabilidades

  • Designing, building, and deploying Generative AI and Machine Learning solutions that improve patient experience, streamline clinical workflows, and operate safely within a highly regulated healthcare environment
  • Building production AI solutions that are used every day by clinicians and patients
  • Applying Generative AI and LLMs in a real healthcare setting, directly improving patient access, communication, and clinical workflows
  • Working on meaningful problems where safety, privacy, and reliability genuinely matter
  • Leveraging LLMs, RAG architectures, conversational AI, and cloud-native platforms within Azure

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