Staff AI Platform & Reliability Engineer

Created.ai is an AI-powered creative platform combining text, image and video generation into production tools for commercial creative work. The platform is operated by eJam, a multi-brand consumer products and technology company. This position is AI-native by design. 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. This is a senior individual contributor position with architectural authority over the platform layer.

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

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