Qualified Health
Qualified Health
Qualified Health स्वास्थ्य सेवा क्षेत्र के लिए निर्मित एक एंटरप्राइज़ AI कंपनी है, जो स्वास्थ्य प्रणालियों को कृत्रिम बुद्धिमत्ता लागू करने, उसका शासन करने और उसे बड़े पैमाने पर उपयोग में लाने के लिए एकीकृत मंच प्रदान करती है। इसका SaaS प्लेटफ़ॉर्म क्लिनिकल, परिचालन और वित्तीय प्रणालियों से जुड़कर मान्य AI समाधानों, वर्कफ़्लो और एजेंट बनाने के उपकरणों, इंटीग्रेशन, निगरानी नियंत्रणों और कार्यबल प्रशिक्षण को एक साथ लाता है। Qualified Health स्वास्थ्य संगठनों को विभिन्न कार्यप्रवाहों में सुरक्षित, अनुपालन-संगत और मापनीय तरीके से AI अपनाने में मदद करने पर केंद्रित है। कंपनी के अनुसार, इसके परिनियोजन हजारों उपयोगकर्ताओं तक पहुँच चुके हैं और परिचालन तथा वित्तीय प्रभाव उत्पन्न कर रहे हैं।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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