[Remote] GenAI Engineer (Azure Cloud, Azure AI Foundry, LangGraph, RAG, Healthcare - Epic/FHIR) - 100% Remote - W2 Contract
Salário Estimado
R$ 12.000,00 - R$ 13.600,00
Tecnologias
Excelente
Score da Vaga
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
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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