Senior AI Product Engineer

Responsibilities

Lead technical design and end-to-end delivery for major product subsystems and complex features

Own architectural decisions within your team's domain — from API contracts to deployment strategy

Set the quality standard: drive test coverage, observability, reliability, and incident response

Mentor more junior engineers through design reviews, code reviews, and regular pairing

Collaborate cross-functionally with AI platform, infrastructure, and product teams

Identify and proactively address technical debt and scalability constraints before they become blockers

Contribute to hiring by reviewing candidate submissions and participating in interviews

Produce clear design documentation that enables asynchronous decision-making across the team

Requirements

5–8 years of software engineering experience

Deep expertise in backend or full-stack development at scale (Python, TypeScript, Go, or similar)

Proven experience designing and operating API platforms or developer-facing cloud services

Strong track record of owning and delivering complex, multi-sprint projects end-to-end

Experience with cloud-native architecture: Kubernetes, distributed systems, observability stacks

Experience building services with clear control plane / data plane separation; familiarity with cell-based or ring-based architecture patterns for cloud service scalability and fault isolation

Ability to communicate technical decisions clearly to product managers and engineering stakeholders

Sound engineering judgment: knows when to simplify, when to invest, and when to defer