Ridgeline
Overview
Senior Staff Full Stack Engineer, AI Platform — Join to apply for the Senior Staff Full Stack Engineer, AI Platform role at Ridgeline. Are you a seasoned technical leader who thrives at the intersection of AI innovation and enterprise impact? Do you excel in architecting scalable AI systems while mentoring teams to push the limits of what’s possible with large language models (LLMs)? If so, we invite you to apply to join our forward-thinking AI Platform Team. As a Senior Staff Full Stack Engineer on our AI Platform team, you will play a strategic role in shaping our AI capabilities, setting the technical vision, and delivering game-changing tools for the investment management industry. You’ll lead efforts to solve complex challenges, enhance platform capabilities, and drive innovation using state-of-the-art technologies—including AI tools like OpenAI, Amazon Bedrock, Claude, and open-source frameworks. This is a high-impact, high-ownership role where you will influence product strategy and technical direction across Ridgeline’s AI ecosystem. Ridgeline emphasizes ownership, transparency, action, and collaboration. We strive to build a resilient, high-performing culture while delivering solutions that matter to our customers. Responsibilities
Lead the design and delivery of next-generation AI capabilities, including integration of LLMs, RAG workflows, and AI Agents into Ridgeline’s platform Define and execute technical strategies that amplify the value of AI across our enterprise offerings Architect scalable, production-grade AI pipelines for real-time and batch inference in cloud-native environments Research and implement advanced models and algorithms to keep Ridgeline on the leading edge of AI innovation Mentor engineers and foster technical excellence through design guidance, peer reviews, and knowledge sharing Collaborate across teams to build end-to-end AI-driven applications that directly impact our customers Establish AI development best practices around performance, reliability, observability, and ethical standards Stay current with AI research and emerging technologies and guide the team in evaluating and adopting relevant innovations What We Look For
10+ years of experience in software engineering, with 5+ years focused on AI/ML systems Proven experience architecting and deploying machine learning models—especially LLMs—in production environments Expertise in Retrieval Augmented Generation (RAG), AI Agent frameworks, and model fine-tuning Proficiency in Python and familiarity with full stack environments using Kotlin, Java, or TypeScript Deep understanding of cloud infrastructure (preferably AWS) and distributed system design Strong leadership and mentoring skills, with a track record of driving technical initiatives across teams Excellent communication skills to engage cross-functional stakeholders and articulate AI strategies Bonus
Experience with Reinforcement Learning (RL), multi-agent systems, or LLM evaluation methodologies Contributions to high-profile open-source projects or publications in AI/ML conferences Familiarity with investment management workflows or use cases for AI in financial technology About Ridgeline
Ridgeline is the industry cloud platform for investment management. It is built to solve operational business challenges with bold innovation and human connectivity for the investment management industry. We are prioritizing security, agility, and usability to empower business like never before. We have offices in Reno, New York, Lake Tahoe, and the Bay Area, and have been recognized by Fast Company, The Software Report, and Forbes for our workplace and innovation efforts. Ridgeline is an equal opportunity workplace. We are committed to an inclusive environment and encourage applicants from all backgrounds. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation And Benefits
The typical starting salary range for this role is $200,000-$235,000. In select locations (including the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified. The typical starting salary range for this role in the select locations listed above is $212,500-$250,000. Final compensation is determined by multiple factors, including candidate experience and expertise. Ridgeline employees can participate in our Company Stock Plan. Benefits include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. For a comprehensive overview of perks and benefits, please check our Careers page.
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Senior Staff Full Stack Engineer, AI Platform — Join to apply for the Senior Staff Full Stack Engineer, AI Platform role at Ridgeline. Are you a seasoned technical leader who thrives at the intersection of AI innovation and enterprise impact? Do you excel in architecting scalable AI systems while mentoring teams to push the limits of what’s possible with large language models (LLMs)? If so, we invite you to apply to join our forward-thinking AI Platform Team. As a Senior Staff Full Stack Engineer on our AI Platform team, you will play a strategic role in shaping our AI capabilities, setting the technical vision, and delivering game-changing tools for the investment management industry. You’ll lead efforts to solve complex challenges, enhance platform capabilities, and drive innovation using state-of-the-art technologies—including AI tools like OpenAI, Amazon Bedrock, Claude, and open-source frameworks. This is a high-impact, high-ownership role where you will influence product strategy and technical direction across Ridgeline’s AI ecosystem. Ridgeline emphasizes ownership, transparency, action, and collaboration. We strive to build a resilient, high-performing culture while delivering solutions that matter to our customers. Responsibilities
Lead the design and delivery of next-generation AI capabilities, including integration of LLMs, RAG workflows, and AI Agents into Ridgeline’s platform Define and execute technical strategies that amplify the value of AI across our enterprise offerings Architect scalable, production-grade AI pipelines for real-time and batch inference in cloud-native environments Research and implement advanced models and algorithms to keep Ridgeline on the leading edge of AI innovation Mentor engineers and foster technical excellence through design guidance, peer reviews, and knowledge sharing Collaborate across teams to build end-to-end AI-driven applications that directly impact our customers Establish AI development best practices around performance, reliability, observability, and ethical standards Stay current with AI research and emerging technologies and guide the team in evaluating and adopting relevant innovations What We Look For
10+ years of experience in software engineering, with 5+ years focused on AI/ML systems Proven experience architecting and deploying machine learning models—especially LLMs—in production environments Expertise in Retrieval Augmented Generation (RAG), AI Agent frameworks, and model fine-tuning Proficiency in Python and familiarity with full stack environments using Kotlin, Java, or TypeScript Deep understanding of cloud infrastructure (preferably AWS) and distributed system design Strong leadership and mentoring skills, with a track record of driving technical initiatives across teams Excellent communication skills to engage cross-functional stakeholders and articulate AI strategies Bonus
Experience with Reinforcement Learning (RL), multi-agent systems, or LLM evaluation methodologies Contributions to high-profile open-source projects or publications in AI/ML conferences Familiarity with investment management workflows or use cases for AI in financial technology About Ridgeline
Ridgeline is the industry cloud platform for investment management. It is built to solve operational business challenges with bold innovation and human connectivity for the investment management industry. We are prioritizing security, agility, and usability to empower business like never before. We have offices in Reno, New York, Lake Tahoe, and the Bay Area, and have been recognized by Fast Company, The Software Report, and Forbes for our workplace and innovation efforts. Ridgeline is an equal opportunity workplace. We are committed to an inclusive environment and encourage applicants from all backgrounds. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation And Benefits
The typical starting salary range for this role is $200,000-$235,000. In select locations (including the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified. The typical starting salary range for this role in the select locations listed above is $212,500-$250,000. Final compensation is determined by multiple factors, including candidate experience and expertise. Ridgeline employees can participate in our Company Stock Plan. Benefits include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. For a comprehensive overview of perks and benefits, please check our Careers page.
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