5 дней назад
Technical Lead Applied AI Engineer (Healthcare AI)
230 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Lead Applied AI Engineer (Healthcare AI): Defining company-wide architecture and technical strategy for agentic AI workflow infrastructure across a healthcare product portfolio with an accent on LLM evaluation, deployment, safety, monitoring, and MLOps. Focus on setting production standards for regulated-domain AI systems, evaluating emerging models and frameworks, and solving high-ambiguity platform and governance challenges across teams.
Location: Palo Alto, United States — hybrid
Salary: $230,000–$280,000 per year, plus equity and benefits
Company
builds generative AI infrastructure for healthcare, including safety guardrails, healthcare-specific agent creation, real-time algorithm monitoring, and AI governance.
What you will do
- Define the multi-year technical strategy and architecture for agentic workflow infrastructure supporting more than 100 product workflows.
- Represent applied AI engineering in product direction, build-versus-buy, and platform investment decisions.
- Set organization-wide standards for LLM evaluation, deployment, safety, and monitoring.
- Serve as the technical escalation point for complex, high-ambiguity problems across product lines.
- Evaluate emerging models, frameworks, and techniques, including OpenAI, Anthropic, and Mistral technologies.
- Mentor Staff-level engineers and shape technical career ladders in partnership with founders and engineering leadership.
Requirements
- Deep software engineering foundation with Python required and experience architecting company-wide systems.
- 8+ years of production software development experience, including 4+ years building and scaling AI-powered or LLM-driven applications in production.
- Experience setting technical direction and standards adopted across multiple teams.
- Deep expertise in MLOps, model deployment, and workflow automation at an organizational or platform level.
- Ability to operate autonomously on ambiguous, high-stakes technical and strategic problems and influence non-technical stakeholders.
- Bachelor’s degree plus 10 years, or Master’s degree plus 8 years, in Computer Science, Engineering, or a related field, or equivalent experience.
Nice to have
- Recognized expertise in applied AI or agentic systems through talks, publications, open source, or platform-level roles.
- Experience building AI infrastructure in healthcare, finance, or another regulated or high-stakes domain.
- Experience founding or scaling a technical function from the ground up in a startup environment.
- Experience mentoring Staff-level engineers and shaping technical career ladders.
Culture & Benefits
- Mission-driven, fast-growing company building a category-defining healthcare product.
- Competitive salary with equity packages.
- Medical, dental, and vision insurance.
- Flexible working hours and hybrid work options.
- Inclusive environment focused on creativity and innovation.
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