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2 дня назад

Principal II AI Platform Engineer, GenAI

250 000 - 300 000$
Формат работы
remote (только USA)
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 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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