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Principal Engineer, AI Platform

Job not on LinkedIn

🕒 September 15

🏄 California, Nevada, +1 more states – Remote

infoinfo

💵 $253k - $316k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

Where this job comes from

Posted on Ridgeline's careers page, not through a job board

First seen by Remote Rocketship September 15

Logo of Ridgeline

Ridgeline

201 - 500 employees

Founded 2017

💼 Consulting

💸 Finance

☁️ SaaS

Consulting • Finance • SaaS

Ridgeline is a company that offers a cloud-based platform designed for investment management firms. It provides solutions for client engagement, portfolio management, trading, compliance, accounting, and reporting, all integrated into a single AI-enabled platform. Ridgeline aims to enhance operational efficiency, digital transformation, and growth for its customers by consolidating multiple systems into one. The platform is known for its intuitive, scalable, and secure design that supports various financial operations and fosters better management of investor relationships. Ridgeline positions itself as a transformative tool for firms seeking to advance in a competitive industry landscape.

📋 Description

• Define and drive technical strategy and architecture for Ridgeline's AI platform and shared AI capabilities across the company • Lead technical decisions enabling engineering teams to use AI platform capabilities in scalable, reliable, secure, and responsible ways • Identify and resolve systemic technical obstacles affecting AI platform availability, usability, extensibility, or reliability • Engage teams building one-off AI solutions to bring them onto the shared platform • Establish engineering standards and architectural approaches for evolving AI technologies and capabilities • Establish 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 • Architect retrieval-augmented generation solutions integrating external and third-party data stores • Build token-efficient AI systems, including model routing and code execution • Propose and evaluate new AI features and resolve technical debates to align teams

🎯 Requirements

• 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 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 Anthropic and/or OpenAI models and APIs • Track record of driving technical or architectural decisions and aligning stakeholders across teams • Demonstrated success integrating third-party data sources and delivering measurable improvements in AI model performance and token efficiency in production • Bonus: experience with multi-agent systems, AI agent orchestration, or advanced model evaluation techniques • Bonus: background in financial services or investment management • Bonus: contributions to open-source AI/ML projects or publications • Ability to work in the United States, based on the listed U.S. locations

🏖️ Benefits

• Company Stock Plan, subject to the applicable Stock Option Agreement • Unlimited vacation • Educational reimbursements • Wellness reimbursements • $0 cost employee insurance plans • Career advancement opportunities

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