Are you a visionary engineer energized by shipping real-world generative AI products? Do you thrive in fast-paced, cross-functional teams where deep product understanding meets innovative AI applications? Are you excited to solve real customer pain by delivering intelligent agents that eliminate manual work, reduce operational risk, and unlock scale for asset managers? If so, we invite you to join our innovative team.

As a Senior Staff Engineer on the Agent Foundry team, you’ll be at the forefront of Ridgeline’s AI revolution—applying generative AI to build reusable, scalable agents that deliver tangible value across the investment management lifecycle. This hands-on, high-impact role blends deep product knowledge, architectural leadership, and AI-forward thinking to drive end-to-end solutions that matter. You’ll work across the entire stack, partner with product and platform teams, and iterate quickly from concept to customer-facing capabilities. We use cutting-edge technologies, including AI tools like GitHub Copilot, Cursor, and ChatGPT, to accelerate delivery and amplify impact.

What will you do?

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

Desired Skills and Experience

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

Bonus

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

About Ridgeline

Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry.

Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before.

With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America’s Best Startup Employers.”

Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.

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 new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.

The typical starting salary range for this role is: $200,000-$235,000.

The typical starting salary range for this role in the select locations listed above is: $212,500-$250,000.

Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.

As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.

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