The ad says“Deep experience owning service architecture across a full stack — understanding how services should blend together, not just how to build any one of them well”
The ad says“Some exposure to LLM/AI services — you don’t need deep AI expertise, but you should have tested the waters with LLM or AI-powered systems in some capacity”
The ad says“Own Service Architecture”
AI is disrupting our stack from the inside, and we’re looking for a Principal Engineer to architect that transformation from day one
Applied AI is a small, fast-moving team building a fresh take on how patient care should happen, from intake through ongoing care companionship
While much of the team is focused on research and rapid experimentation, this role is the productionization counterpart — the person who takes what’s working and makes it robust, scalable, and reliable enough to run in production at the core of the patient experience
You’ll be the key architect of the patient-facing experience end-to-end, owning how the services across the stack fit together
This is a hands-on role for someone who thinks about robustness, scalability, and debuggability from day one, and who can balance building for today with architecting for where the product needs to go over the next several years
Own Service Architecture
Own the overall architecture for the Applied AI stack — how individual services blend together into a coherent, end-to-end patient-facing experience, from intake through ongoing companion interactions
Productionize AI-Driven Experiences
Partner with research-focused teammates who move fast on experimentation, and take their work to production: hardening services for uptime, reliability, and scale. Bring engineering rigor to a team that’s optimized for speed of iteration
Reliability & Operational Excellence
Instill best practices around debugging, observability, and operational readiness. Design for robustness and scalability from day one rather than retrofitting it later
Mentorship & Talent Growth
Mentor senior technical leaders, elevating engineering capabilities across the organization. Champion initiatives that foster talent density, engineering rigor, and a culture of continuous learning
Ambiguity Navigation & Execution Acceleration
Lead through complexity and ambiguity, clarifying direction where ownership is unclear. Remove organizational blockers, simplify decision-making, and accelerate delivery of strategic initiatives
Customer-Centric Engineering
Translate customer needs and product goals into scalable technical solutions. Define principles and patterns that embed customer obsession into our platform’s architecture
Sustainability & Scalability
Design systems and team boundaries to support sustainable growth. Drive investment in non-functional priorities (e.g., observability, migrations, reliability) early in the design process
Benefits
Generous PTO: Take the time you need, when you need it - including generous parental leave
Full healthcare: High-coverage medical, dental & vision coverage for individuals and families
Retirement planning: Take advantage of our 401(k) plan including contribution matching
Work from anywhere: We are a remote-first company, so you can work from anywhere you like in the uS
Robust compensation: We offer competitive salary bands and stock options
Employee discount: Employees can take advantage of product discounts
Utility stipend: A extra $75 each month to cover extra cell phone, internet, or data usage
Spending accounts: Options for additional HSA and FSA plans to help toward healthcare costs
Preferred experience
Excellent track record standing up services at scale in production, with a demonstrated ability to think about robustness, scalability, and debuggability from day one
Strong communication and collaboration skills, with the ability to partner across research, product, and clinical stakeholders
Proven track record of influencing technical strategy and delivering cross-org technical initiatives at the group or organizational level
A “productionization” mindset: comfortable being the counterweight to a fast-moving research/experimentation culture, focused on uptime and reliability
15+ years of professional software engineering experience with deep architectural expertise and a record of delivering production systems at scale
Ability to think long-term and build for the future, balancing near-term delivery with durable architecture
Some exposure to LLM/AI services — you don’t need deep AI expertise, but you should have tested the waters with LLM or AI-powered systems in some capacity
Hands-on engineering ability; you want to stay close to the code and the architecture, not just the roadmap
Deep experience owning service architecture across a full stack — understanding how services should blend together, not just how to build any one of them well
You’ll Thrive Here If You:
Want to help architect how AI reshapes a company’s stack and product, from the inside, from day one
Mentor senior engineering talent and reinforce a culture of growth, feedback, and high technical standards
Balance short-term deliverables with long-term scalability, system health, and customer experience
Take initiative to address cross-squad blockers, scale constraints, or misaligned priorities before they escalate
Drive consistent, action-oriented execution even without perfect clarity
Inspire confidence through transparency, humility, and deep technical credibility
Advocate for customers through scalable, resilient backend design that anticipates clinical complexity and future scale
Create alignment and momentum in ambiguous or complex technical spaces
Lead with curiosity, adaptability, and principled decision-making
If you’re excited about this role, we encourage you to apply—even if you’re not sure if your background or experience is a perfect match