AI Platform Engineer – Developer & Product Enablement

Role responsibilities

The AI Platform Engineer will own the lifecycle of internal AI APIs, SDKs, and developer tooling, ensuring reliable, production-grade systems. They will also drive product development acceleration by integrating AI capabilities into existing workflows and build observability tooling to monitor system performance.

Requirements

The ideal candidate should have over 5 years of experience in software or platform engineering, with at least 2 years focused on production AI/ML systems. Strong capabilities in system and API design, along with proficiency in Python and a compiled language, are essential.

Key skills

Software Engineering, Platform Engineering, Infrastructure Management, System Design, API Design, Distributed Systems, Python, Compiled Languages, LLM APIs, CI/CD, Code Review Automation, Test Generation, Observability Tooling, Model Routing, Context Management, Technical Guidance

Keywords

AI Platform, APIs, Tooling, Internal Developer Tools, Code Generation, AI-Assisted Systems, CI/CD, Automation, Jira, GitHub, Slack, Quality Assurance, Observability, Token Costs, Latency, Engineering Standards, Architectural Reviews, Agentic Frameworks, RAG Architectures, Vector Databases, Infrastructure-as-Code, Terraform, Software Development, Product Development, Collaboration, Remote Work, Ziff Davis, Tech & Shopping Division, Digital Media, Software Brands