8+ years in backend or infrastructure engineering with architecture-level ownership
1-2 years building or operating AI platforms in production
Proven experience designing and operating distributed systems
Strong proficiency in Python or similar languages
Deep knowledge of cloud infrastructure (GCP, AWS)
Familiarity with containerization and orchestration (Kubernetes)
Experience designing APIs and service boundaries at scale
Solid understanding of security fundamentals (authN/authZ, secrets management)
Experience setting technical direction for a team
Familiarity with open-source AI libraries or durable-execution orchestrators
Responsibilities
Set the technical architecture for the orchestration layer powering AI agents
Own reliability, latency, and cost of agent execution at scale
Design and evolve a platform SDK for AI engineering teams
Define multi-tenant isolation, quota management, and security boundaries
Partner with AI Scientists and Engineers to expose model capabilities through APIs
Set standards for CI/CD pipelines for agent deployment
Design API and model gateways for routing and cost attribution
Collaborate with the platform team to enhance shared infrastructure
Mentor Platform Engineers and review architectural decisions
Participate in on-call rotation and incident response for production systems
Benefits
Opportunity to build the talent engine for a fast-growing Healthtech AI company
Dynamic work environment with an international team
Work alongside top talent committed to making a real impact
Comprehensive private health coverage for physical and mental well-being
Hybrid work model for better work-life balance
Company events to celebrate achievements
Equipped with a MacBook for enhanced productivity
Pet-friendly office environment
Full Job Description
About the role
We're looking for a curious and pragmatic Platform Architect to join our growing AI Open Source team in Austin, Texas. You'll set the technical direction for the orchestration layer and SDK that every other AI team at the company depends on - durable, multi-tenant, and fast to iterate against. Your work sits underneath an AI-powered product that is transforming how clinical trials are run, so reliability and security aren't afterthoughts, they're core to the job.
You'll partner closely with our AI Scientists and embedded AI Engineers, and mentor the Platform Engineers building alongside you, giving you visibility and influence over how the whole AI stack fits together. This is an exciting opportunity to join a fast-paced biotech AI startup at an early stage of its growth, as we continue expanding our US presence.
Key Responsibilities
Set the technical architecture for the orchestration layer that powers our AI agents in production
Own the reliability, latency, and cost of agent execution at scale
Design and evolve a platform SDK used across every AI engineering team
Define multi-tenant isolation, quota management, and security boundaries
Partner with AI Scientists and AI Engineers to expose model and evaluation capabilities through platform APIs
Set standards for CI/CD pipelines used for agent deployment
Design API and model gateways for routing, rate limiting, and cost attribution
Collaborate with our broader platform team to extend and harden shared infrastructure
Mentor Platform Engineers and review key architectural decisions
Participate in on-call rotation and incident response for production systems
Required Experience & Skills
8+ years of experience in backend or infrastructure engineering, including architecture-level ownership
At least 1-2 years of that experience specifically building or operating AI/agentic platforms in production
Track record of designing and operating distributed systems in production
Strong proficiency in Python or a comparable language
Deep experience with cloud infrastructure (e.g., GCP, AWS)
Familiarity with containerization and orchestration (e.g., Kubernetes)
Experience designing APIs and service boundaries at an organizational scale
Solid understanding of security fundamentals (authN/authZ, secrets management)
Experience setting technical direction and standards for a team
Familiarity with open-source agentic AI libraries and/or durable-execution orchestrators
Nice-to-Have Skills
Experience building or operating agentic AI systems
Experience in a regulated industry (healthcare, biotech, fintech)
Contributions to open-source infrastructure projects
Experience mentoring engineers or leading technical initiatives
Who We're Looking For
Someone who enjoys building foundational systems that other engineers rely on
A pragmatic problem-solver who balances speed with long-term maintainability
Someone comfortable operating in ambiguity at an early-stage startup
A collaborative teammate who communicates clearly across disciplines
Why Join Us?
The opportunity to help build the talent engine behind a fast-growing Healthtech AI company.
A dynamic work environment with an international team, where collaboration and diversity thrive.
Work alongside top talent, united by a shared purpose and committed to making a real impact.
Comprehensive private health coverage to ensure your physical and mental well-being.
Hybrid work model offering flexibility to balance your professional and personal life.
Company events to celebrate achievements and enjoy time together.
Get equipped with a MacBook to enhance your productivity and work experience.
Our office is pet-friendly! You'll likely be greeted by a few wagging tails upon arrival.
Compensation range
Austin: $150,000 - $250,000 gross annually*
Other locations: Compensation will be discussed during the interview process
*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience
