Senior Staff Engineer

Summary

Join Ridgeline’s innovative team as a Senior Staff Engineer and be at the forefront of their AI revolution, applying generative AI to build reusable, scalable agents that deliver tangible value across the investment management lifecycle. This hands-on role blends deep product knowledge, architectural leadership, and AI-forward thinking to drive end-to-end solutions. You will work across the entire stack, partner with product and platform teams, and iterate quickly from concept to customer-facing capabilities, utilizing cutting-edge technologies like GitHub Copilot, Cursor, and ChatGPT. You will lead architecture and implementation, collaborate with various teams, design reusable patterns, integrate AI models, ensure scalable and secure solutions, partner for smooth handoff and adoption of agents, contribute to internal best practices, mentor engineers, and evaluate and apply generative AI advances. This is a high-impact role offering significant contributions to Ridgeline's AI initiatives.

Requirements

• 10+ years of software engineering experience, including significant full stack development
• Experience leading and delivering end-to-end features in cloud-native production systems
• Deep knowledge of modern front-end and back-end technologies (React, Kotlin, Java, TypeScript, or similar)
• Strong understanding of LLMs and AI-driven architectures, including RAG and agent frameworks
• Familiarity with prompt engineering, structured output generation, and AI integration patterns
• Expertise with RESTful API design, scalable data workflows, and security best practices
• Demonstrated ability to work cross-functionally and communicate technical ideas clearly
• Passion for clean code, iterative development, and measurable outcomes
• Experience with Cursor, ChatGPT, or similar generative AI development tools

Responsibilities

• Lead architecture and implementation of complex full-stack systems that power intelligent agents
• Collaborate with Product, CX, and the AI Platform team to rapidly scope, prototype, and launch agents
• Design and build reusable patterns, frameworks, and abstractions for agent development
• Integrate AI models and services with Ridgeline’s unified data model and platform APIs
• Ensure solutions are scalable, secure, and maintainable within Ridgeline’s architecture
• Partner with Product squads to ensure smooth handoff, adoption, and long-term success of agents
• Contribute to Ridgeline’s internal best practices for generative AI
• Mentor engineers and drive engineering excellence across the Foundry and beyond
• Evaluate and apply generative AI advances, weighing tradeoffs of performance, reliability, and cost

Preferred Qualifications

• Experience with cloud platforms (AWS preferred) and infrastructure-as-code practices
• Background in asset management, fintech, or regulated software environments
• Contributions to open-source AI or developer tools
• Familiarity with observability, monitoring, and production debugging in AI systems

Benefits

• 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement
• Unlimited vacation
• Educational and wellness reimbursements
• $0 cost employee insurance plans