aipythonsqlllmlangchainmlopsmachine learninggenerative aipysparkagentic ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$98к-134к/год
$110к$140кмедиана$180к
По похожим ролям (49) ~ $140к/год
На СНГ рынке: $1.2к/мес ($950 - $1.5к)
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Чётко описанная роль в растущей корпоративной AI-команде даёт опыт разработки решений для реального использования в здравоохранении, хотя широкий набор задач по ML и данным может размывать повседневный фокус.
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Широкий круг задачСовременный AI-стекИИ в здравоохраненииКрупный работодатель
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Generative AI/LLMs): Building production-ready generative AI applications, autonomous agents, and reusable machine learning modules for healthcare with an accent on responsible AI, enterprise integration, and scalable deployment. Focus on designing agentic systems, integrating LLMs into business workflows, implementing MLOps and monitoring, and solving reliability and compliance challenges in large-scale AI systems.
Location: Hybrid, with 3 days per week in the office and 2 days remote. Office locations: Louisville, KY; Boston, MA; New York, NY; Dallas, TX; Tampa, FL; Washington, DC (Arlington, VA).
Salary: $97,900–$133,500 per year, plus eligibility for a bonus incentive plan.
Company
hirify.global is a U.S. healthcare company providing insurance and healthcare services through hirify.global and CenterWell.
What you will do
Design and develop responsible generative AI solutions using Python, machine learning, and large language models.
Build autonomous AI agents with frameworks such as LangChain, LangGraph, AutoGen, and CrewAI to support reasoning and decision-making in healthcare.
Integrate AI into enterprise systems and workflows, partnering with business stakeholders to develop scalable, reliable, and compliant solutions.
Collaborate with MLOps, DevOps, engineering, product, data science, and business teams to deploy and maintain production AI models.
Develop advanced machine learning models and algorithms, large-scale data science initiatives, and robust monitoring capabilities.
Create reports, projections, models, and presentations for business stakeholders and use AI coding assistants.
Requirements
Bachelor’s degree and 2 or more years of applicable experience, or a master’s degree and 1 or more year of experience, preferably developing production-ready AI solutions.
Experience with agentic AI system design and collaboration with MLOps and DevOps teams.
Proficiency in SQL, Python, PySpark, and data analysis or data mining tools.
Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
Experience building or working with high-performance, large-scale machine learning systems.
Experience with language modeling using transformers and with large-scale ETL.
Culture & Benefits
Work with data scientists, engineers, policy experts, business leaders, and healthcare stakeholders on AI systems intended to improve customer care and outcomes.
40 scheduled hours per week in a full-time employment position.
Benefits include medical, dental, and vision coverage; 401(k); paid time off and holidays; paid parental and caregiver leave; disability coverage; and life insurance.
Equal opportunity and affirmative action employer.
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