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Principal Engineer, AI Platform

Ridgeline· Engineering
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Hybrid (San Ramon, CA; Reno, NV; New York, NY)$253k - $316kfull-timePosted 1mo ago

About the role

Technical leader responsible for architecting and delivering Ridgeline's agentic AI platform, driving architecture and strategy across the company, and contributing to product delivery in a cross-functional environment.

Responsibilities

  • Define and drive technical strategy and architecture for Ridgeline's AI platform and shared AI capabilities across the company.
  • Lead technical decisions that enable engineering teams across the firm to use AI platform capabilities in scalable, reliable, secure, and responsible ways.
  • Identify and resolve systemic technical obstacles that limit the availability, usability, extensibility, or reliability of the AI platform, including proactively engaging teams building one-off AI solutions to bring them onto the shared platform.
  • Establish engineering standards and architectural approaches that help teams make sound decisions as AI technologies and capabilities evolve, including reliability and evaluation standards for AI models in production.
  • Partner across Engineering, Product, Data, and other functions to connect AI platform investments to company priorities and customer outcomes, adapting your working style to collaborate with diverse engineering squads.
  • Architect solutions for integrating external data via retrieval-augmented generation, including connections to third-party data stores, and build systems for token-efficient AI usage such as model routing and code execution.
  • Propose and evaluate new AI features to advance the platform's capabilities, and resolve technical debates to align teams around the right approach.

Qualifications

  • 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).
  • Proven ability to design scalable, efficient system architectures and evaluate the right technologies for AI system components.
  • Experience establishing software development best practices and reliability/evaluation standards for AI models in production.
  • 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.
  • Track record of driving technical or architectural decisions and aligning stakeholders across teams, especially amid competing viewpoints.
  • Demonstrated success integrating third-party data sources and delivering measurable improvements in AI model performance and token efficiency in production.

Skills

Required:Software architectureAI platform designFull-stack development

Benefits

  • unlimited vacation
  • educational and wellness reimbursements
  • $0 cost employee insurance plans
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Ridgeline

Revolutionizing Investment Management

Ridgeline: Revolutionizing Investment Management with a single front-to-back system of record, embedded AI, and automation capabilities.

Investment ManagementAIAutomationPortfolio ManagementTradingComplianceData
Company profileWebsite

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