Staff Engineer, Agent Foundry

Are you an experienced engineer who thrives on turning cutting-edge AI into production-ready solutions? Do you excel at owning complex technical initiatives while collaborating across disciplines to solve real business challenges? Are you excited to deliver intelligent agents that streamline workflows, reduce risk, and create value for asset managers? If so, we invite you to be a part of our innovative team.

As a Staff Engineer on the Agent Foundry team, you will help define and build the next generation of AI-powered solutions for the Ridgeline platform. You’ll work closely with Product, CX, and the AI Platform team to rapidly deliver intelligent agents that integrate seamlessly with our unified data model. This role combines deep product context with modern full-stack engineering and applied generative AI. You’ll contribute architectural guidance, mentor other engineers, and leverage tools like GitHub Copilot and ChatGPT to amplify your development velocity and impact.

What will you do?

• Lead the end-to-end design and development of full-stack solutions that power intelligent agents
• Collaborate with cross-functional partners to understand customer needs and align agent development with business priorities
• Apply LLM-driven workflows—such as Retrieval-Augmented Generation and structured output agents—where they provide measurable customer value
• Build reusable components and abstractions to streamline future agent development
• Ensure architectural soundness, scalability, and maintainability of new AI integrations
• Mentor engineers across the team and promote engineering excellence through code reviews, design sessions, and best practices
• Partner with product squads to ensure smooth handoff and extensibility of delivered agents
• Evaluate and adopt new AI capabilities that can enhance the performance, trustworthiness, or efficiency of agents

Desired Skills and Experience

• 8+ years of professional software engineering experience, including full-stack product development
• Demonstrated leadership on cross-team or high-impact initiatives
• Proficiency with modern languages and frameworks, including Kotlin, Java, TypeScript, and React
• Experience designing and building APIs, distributed systems, and cloud-native applications (AWS preferred)
• Practical understanding of how to integrate LLMs, including prompt construction, agent orchestration, and observability
• Ability to navigate ambiguity, break down complex technical problems, and ship high-quality solutions
• Excellent communication and collaboration skills across technical and non-technical stakeholders
• Familiarity with agile development, MVP delivery, and iterative experimentation in AI products

Bonus

• Experience working with generative AI tools like OpenAI, Anthropic, or Amazon Bedrock
• Exposure to vector databases, structured tool-calling, or orchestration frameworks 
• Background in financial services, particularly investment management workflows
• Contributions to AI open-source or thought leadership in applied ML
• Experience evaluating AI model performance, cost, and quality tradeoffs

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: $174,500-$205,000. 

The typical starting salary range for this role in the select locations listed above is: $185,000-$220,000.

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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