Staff AI Platform & Reliability Engineer

About the role

We are seeking a Staff Engineer to take ownership of the AI generation services, provider integrations, billing integrity, tenant security and overall platform reliability underpinning created.ai. The role is Python and GCP-first, with sufficient TypeScript proficiency to trace and modify cross-service contracts.

Responsibilities

• Own the design, delivery and operation of AI generation services and all third-party provider integrations
• Ensure billing and usage-metering integrity across the platform, including reconciliation and credit accounting
• Maintain tenant isolation and platform security controls
• Lead reliability engineering: failure handling, degradation strategy, capacity and incident response
• Strengthen deployment safeguards, observability and cost attribution
• Set technical standards for the Python services and mentor engineers working within them

Requirements

• Python 3.12 with FastAPI, Pydantic, asyncio and strict typing in production
• Google Cloud Platform: Cloud Run, Pub/Sub, Cloud Tasks, GCS, Firestore, Cloud SQL/Postgres
• Demonstrated experience with webhooks, queues, retries, idempotency, dead-letter queues and durable asynchronous jobs
• SQLAlchemy and Alembic, together with billing or usage-metering experience
• Infrastructure and delivery tooling: Terraform, IAM/OIDC, Secret Manager, CI/CD
• Production integrations with image, video or LLM providers
• Working proficiency in NestJS/TypeScript sufficient to modify cross-service contracts
• Strong background in observability, cost tracking and incident debugging
• Fluency with agentic coding tools (Claude Code, Codex, Cursor or comparable), including the ability to scope work for them, review their output critically and maintain architectural coherence across AI-assisted changes

Qualifications

• Not specified

Skills

• Not specified

Benefits

• Health, Dental, Vision
• 401k Plan
• PTO Plan
• 14 observed local holidays
• Stock options
• Amazing, pet-friendly office environment
• Equipment budget and learning allowance
• Real technical ownership within a small engineering team, and visible impact on a commercially active AI product with real users and real scale constraints
• Direct involvement in product decisions — the team is small enough that there is nowhere to hide, in both directions

Pay

• $172,000 - $220,000

Schedule

• Full-time