Senior Engineer, Agent Foundry

San Ramon, CA; Reno, NV; New York, NY

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Ridgeline

Ridgeline is the cloud platform for investment management. Real-time data throughout the platform and front to back functions like CRM, trading, portfolio management, reporting, and more.

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Are you an engineer passionate about building intelligent applications with real customer impact? Do you love solving problems where AI, data, and product understanding intersect? Are you excited to build agents that eliminate operational pain and bring automation and intelligence to the workflows of asset managers? If so, we invite you to be a part of our innovative team.

As a Senior Engineer on the Agent Foundry team, you’ll help bring Ridgeline’s AI vision to life by building intelligent agents that deeply understand the investment management domain and seamlessly integrate with our platform. You’ll work across the stack to deliver fast, scalable, and maintainable solutions while applying modern generative AI techniques to meaningful real-world problems. This is a hands-on engineering role where you’ll collaborate across disciplines and leverage tools like ChatGPT and GitHub Copilot to accelerate development and explore new possibilities.

What will you do?

  • Design and build user-facing and backend systems for AI-powered agents that integrate with Ridgeline’s unified data model
  • Apply generative AI where it offers real performance or efficiency gains over traditional automation
  • Collaborate with teammates, product managers, and domain experts to understand customer pain points and ship impactful solutions quickly
  • Participate in rapid prototyping, MVP builds, and iteration cycles to validate agent value early and often
  • Develop reusable components and patterns that streamline future agent development across the platform
  • Maintain a strong quality mindset by writing well-tested, production-ready code
  • Stay current with emerging tools and trends in generative AI and cloud engineering
  • Share learnings and help strengthen Ridgeline’s collective AI engineering capabilities

Desired Skills and Experience

  • 5+ years of professional software engineering experience, including full stack development
  • Proven track record of shipping high-quality, scalable applications in cloud environments
  • Strong programming skills in languages like Kotlin, Java, or TypeScript
  • Familiarity with front-end technologies such as React or similar frameworks
  • Experience integrating generative AI solutions, including prompt engineering and tool calling
  • Strong understanding of API design, microservices, and working with structured and unstructured data
  • Effective problem-solving abilities and clear communication skills in cross-functional settings
  • Passion for AI, iteration, and building software that truly helps customers

Bonus

  • Experience working with LLMs, embedding models, vector search, or Retrieval-Augmented Generation (RAG)
  • Exposure to OpenAI, Anthropic, Amazon Bedrock, or similar AI providers
  • Experience with AI model evaluation and testing strategies
  • Familiarity with financial services, investment operations, or workflow automation
  • Contributions to open-source projects or technical communities

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 $146,000-$172,000. 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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Category: Engineering Jobs

Tags: Anthropic APIs ChatGPT Copilot Engineering Generative AI GitHub GPT Java LLMs Microservices MVP OpenAI Open Source Privacy Prompt engineering Prototyping RAG React Security Testing TypeScript Unstructured data

Perks/benefits: Career development Equity / stock options Salary bonus Startup environment Unlimited paid time off Wellness

Region: North America
Country: United States

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