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Qualified Health
Qualified Health
51 – 200 Darbinieki
Mākslīgais intelektsSaaSVeselības aprūpe
Qualified Health ir veselības aprūpei paredzēts uzņēmums, kas veselības aprūpes sistēmām nodrošina vienotu platformu mākslīgā intelekta ieviešanai, pārvaldībai un mērogošanai. Tā SaaS platforma savienojas ar klīniskajām, operatīvajām un finanšu sistēmām, apvienojot validētus mākslīgā intelekta risinājumus, darbplūsmu un aģentu veidošanas rīkus, integrācijas, pārraudzības kontroles un darbinieku apmācību. Qualified Health palīdz veselības aprūpes organizācijām droši, atbilstoši prasībām un izmērāmi ieviest mākslīgo intelektu dažādās darbplūsmās. Uzņēmums norāda, ka tā risinājumi ir ieviesti tūkstošiem lietotāju un nodrošinājuši operatīvu un finansiālu ietekmi.
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Vakances uzņēmumā

Principal AI Engineer

Lead the design of agentic AI infrastructure and governance for Qualified Health’s healthcare platform. Establish company-wide standards for production LLM systems.

USAmerikas Savienotās ValstisCAKalifornija
230 000 $ – 280 000 $ / gads
HibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
Python

Apraksts

  • Set the long-range architecture and technical strategy for agentic workflow infrastructure across the product portfolio.
  • Represent applied AI engineering in cross-functional and leadership discussions about product direction, build-or-buy choices, and platform investment.
  • Establish organization-wide standards for LLM evaluation, deployment, safety, and monitoring.
  • Resolve the most difficult and ambiguous technical issues across product lines.
  • Coach and develop Staff-level engineers.
  • Contribute to the technical career framework for applied AI roles.
  • Assess emerging models, frameworks, and techniques and recommend which to adopt.
  • Work with founders and engineering leaders to align AI infrastructure investment with company strategy.
  • Write code and tackle challenging technical problems directly.

Prasības

  • Python experience is required.
  • At least 8 years of experience building production software.
  • At least 4 years building and scaling production AI-powered or LLM-driven applications.
  • A record of architecting systems adopted company-wide.
  • Experience setting technical direction and standards adopted across multiple teams.
  • Deep expertise in MLOps, model deployment, and workflow automation at organizational or platform scale.
  • Ability to independently handle ambiguous, high-stakes technical and strategic challenges.
  • A strong record of influencing leadership-level technical decisions, including with non-technical stakeholders.
  • A bachelor’s degree and 10 years of experience, or a master’s degree and 8 years, in computer science, engineering, or a related field; equivalent experience is accepted.
  • Recognized expertise in applied AI or agentic systems.
  • Experience building AI infrastructure in a regulated or high-stakes field.
  • Experience founding or scaling a technical function from the ground up in a startup.
  • Experience mentoring Staff-level engineers and shaping technical career paths.
  • Must be legally authorized to work in the United States for any employer without current or future sponsorship.

Priekšrocības

  • Equity packages.
  • Medical, dental, and vision insurance.
  • Flexible working hours.
  • Hybrid work options.
  • An inclusive environment that encourages creativity and innovation.
  • Competitive salary.

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