Principal Engineer, AI Platform

What you'll do

• Set technical strategy and architecture for the AI platform and establish standards for scalable, secure, reliable, and responsible adoption.
• Remove systemic platform obstacles and align teams on technical decisions and AI investments.
• Design external-data integrations using retrieval-augmented generation and build token-efficient systems such as model routing and code execution.

What they ask for

• 15+ years of software engineering experience, with deep expertise in systems architecture.
• Significant experience building and shipping an AI-powered product in production, including agentic loop design, structured responses, tool calling, Model Context Protocol (MCP), and retrieval-augmented generation (RAG).
• Full-stack experience across front-end and back-end AI product development; proficiency in Kotlin, TypeScript, and React.
• Experience working with both Anthropic and/or OpenAI models and APIs.

Nice to have

• Experience with multi-agent systems, AI agent orchestration, or advanced model evaluation techniques.
• Background in financial services or investment management; contributions to open-source AI/ML projects or publications are also listed as bonuses.

Pay

$253,000-$316,000 USD base salary; $278,000-$347,500 USD base salary in select locations

Tools

Kotlin, TypeScript, React, Anthropic, OpenAI, Model Context Protocol (MCP), retrieval-augmented generation (RAG)

AI focus

Architects and delivers production agentic AI systems, including tool use, external-data retrieval, model routing, code execution, and model reliability and evaluation standards.