Design and build foundational systems, APIs, and tooling for engineering and product teams
Own the lifecycle of internal AI APIs, SDKs, and developer tooling
Build and maintain CI/CD-integrated AI systems
Drive product development acceleration by integrating AI capabilities into workflows
Design evaluation frameworks and automated testing pipelines
Build observability tooling to monitor model behavior and production output quality
Establish shared prompt libraries and reusable context management systems
Define and enforce engineering standards for AI system development
Provide technical guidance and conduct architectural reviews of AI features

5+ years in software engineering, platform engineering, or infrastructure
At least 2 years building production AI/ML systems
Deep experience with LLM APIs
Strong understanding of how these systems behave under production load
Experience building internal developer platforms, tooling, or shared infrastructure
Proficiency in Python and at least one compiled language
Familiarity with agentic frameworks, RAG architectures, vector databases, or infrastructure-as-code (Terraform) preferred.

Comprehensive medical, dental, and vision coverage
Life and disability benefits
Flexible Spending Accounts (FSAs)
401(k) with company match
Employee Stock Purchase Plan
Flexible Time Off
Volunteer Time Off
Paid holidays
Family building and caregiving support
Generous Family Care and Parental leave
Fitness Reimbursement
Access to wellness programs
Professional growth opportunities through educational support and mentorship programs

AI Platform Engineer – Developer, Product Enablement

Key skills