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6 дней назад

Support Engineer (AI)

90 000 - 150 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Support Engineer (AI): Investigating and resolving technical issues across healthcare workflows, data pipelines, integrations, and AI-generated outputs with an accent on root-cause analysis, production debugging, and precise engineering escalations. Focus on reproducing failures, tracing logs and data, fixing Tier 1 issues, proposing code-level solutions, and building diagnostic knowledge for Charta's healthcare platform.

Location: San Francisco, United States; on-site

Salary: $90,000–$150,000 per year, depending on experience, plus equity and benefits.

Company

hirify.global is building an AI operating system for modern healthcare organizations to streamline revenue cycle, clinical operations, and administrative workflows.

What you will do

  • Investigate bugs, data discrepancies, processing gaps, integration failures, and unexpected AI model outputs.
  • Reproduce issues, query data, inspect logs and pipeline runs, and identify root causes across data, configuration, and code.
  • Triage incidents, deployment issues, product bugs, expected behavior, and feature gaps to the appropriate engineering pod.
  • Resolve configuration, mapping, data, and failed-job issues directly, and validate fixes in production.
  • Prepare clear engineering escalations with evidence, blast radius, root cause, and proposed fixes.
  • Build runbooks, diagnostic queries, triage guides, and recommendations for recurring defects and monitoring gaps.

Requirements

  • Experience in technical support engineering, escalation engineering, solutions engineering, SRE/production support, or software engineering.
  • Ability to read Python and/or TypeScript, write SQL, analyze logs and data pipelines, and work in production codebases.
  • Strong debugging, investigation, prioritization, documentation, and technical communication skills.
  • Experience handling sensitive healthcare data responsibly and following access and privacy practices.
  • Experience with B2B SaaS, healthcare technology, EHR/EMR integrations, medical coding, or risk adjustment.
  • Experience with data pipelines, workflow orchestration, ETL systems, LLM/ML products, AWS, observability tools, or internal support tooling.

Nice to have

  • Experience with HL7, FHIR, or healthcare vendor APIs.
  • Experience evaluating model output and prompt behavior.
  • Experience building scripts, dashboards, or internal tools that improve support operations.

Culture & Benefits

  • Competitive salary with equity and comprehensive health, dental, vision, and life insurance.
  • On-site office environment with team dinners and snacks.
  • Growth opportunities in a fast-paced technology startup.
  • Professional development and access to AI and healthcare tools.
  • Commitment to equal opportunity and diversity.

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