Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$250к-300к/год
$190к$210кмедиана$250к
По похожим ролям (49) ~ $210к/год
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Крутая вакансия
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Чётко очерченная роль для сильного hands-on специалиста даёт возможность влиять на production GenAI-системы в сфере здравоохранения; основные нюансы - высокий порог опыта и дежурства по эскалациям.
Высокий порог опыта
Дежурства по инцидентам
Выше рынка
Современный стек
ИИ в медицине
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal II AI Platform Engineer, GenAI (AI/Databricks): Building and scaling production generative AI applications, agentic systems, and member-facing conversational experiences with an accent on agent infrastructure, Databricks integration, security, and reliability. Focus on designing orchestration, tool calling, RAG, vector search, evaluation, observability, and production operations for regulated healthcare AI.
Location: USA - Any Location (Remote). Applicants must be currently authorized to work in the United States without requiring visa sponsorship now or in the future.
Base salary: $250,000–$300,000 per year, plus performance bonus, RSUs, and benefits subject to eligibility.
Company
hirify.global provides virtual care and develops technology intended to improve access to healthcare.
What you will do
Architect and hands-on develop production GenAI applications, including member-facing AI agents, conversational experiences, and API-based workflows.
Design reusable agent infrastructure for orchestration, tool and function calling, MCP, RAG, vector search, context management, and model integrations.
Architect AI solutions on Databricks covering platform integration, model serving, retrieval, governance, and secure enterprise patterns.
Set technical direction for AI architecture, scalability, platform integrations, and build-versus-buy decisions while remaining accountable for implementation.
Establish evaluation, automated testing, CI/CD, versioning, observability, troubleshooting, guardrails, access controls, and performance and cost monitoring for production AI.
Partner with product, engineering, data, security, and compliance teams; mentor engineers; communicate technical decisions; and provide senior on-call escalation support.
Requirements
Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, or equivalent practical experience.
12+ years of experience building and running production software, platform, or ML systems, including setting technical direction for large multi-team initiatives and defining company-wide architectures and standards.
5+ years of hands-on Databricks experience at production scale, including Lakehouse architecture, Unity Catalog, Delta Lake, Spark/PySpark performance tuning, Workflows, Databricks SQL, and cost management.
Strong foundation in traditional machine learning or deep learning developed before widespread GenAI adoption, followed by substantial recent agentic GenAI engineering experience.
Proven personal experience building, deploying, and operating production GenAI/LLM applications, ideally with 3+ years of agentic APIs, workflows, or conversational products.
Strong knowledge of agent architecture, orchestration, tool calling, RAG, vector retrieval, context management, evaluation, and observability.
Strong Python skills and experience delivering production AI services or APIs with CI/CD, testing, monitoring, and operational troubleshooting.
Ability to lead through technical authority, mentor engineers, collaborate across teams, and design secure and reliable systems as a hands-on individual contributor.
Must be authorized to work in the United States without current or future visa sponsorship.
Nice to have
Experience with Databricks Mosaic AI, Unity Catalog, Delta Lake, MLflow, Vector Search, or Databricks Asset Bundles.
Experience with Snowflake, dbt, Terraform, Spark/PySpark, or broader data lakehouse infrastructure.
Experience applying AI in healthcare or other regulated environments, including HIPAA or responsible AI frameworks.
Familiarity with LangGraph, Semantic Kernel, Azure AI Foundry, Docker, or Kubernetes.
Databricks or cloud AI certifications, open-source contributions, publications, or conference presentations.
Culture & Benefits
Full-time employment with performance bonus, RSUs, and benefits subject to eligibility.
Flexible Vacation Policy requiring manager approval, plus 80 hours of paid sick, safe, and caregiver leave annually.
High-performance, inclusive, and collaborative environment focused on innovation, growth, and improving access to care.
Identity and credential verification, interviews conducted live or by video, and fraud screening are part of the hiring process.
Hiring process
Complete identity and credential verification and participate in live or video interviews.
Falsified information results in disqualification; official hirify.global recruiting communications use the @teladochealth.com domain.
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