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Senior Staff Full Stack Engineer, AI Platform
Senior Staff Full Stack Engineer, AI PlatformRidgeline • New York, New York, United States
Senior Staff Full Stack Engineer, AI Platform

Senior Staff Full Stack Engineer, AI Platform

Ridgeline • New York, New York, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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)? Are you passionate about delivering transformative solutions using cutting-edge AI paradigms like Retrieval Augmented Generation (RAG), AI Agents, and custom model fine-tuning? If so, we invite you to apply to join our forward-thinking AI Platform Team.

As a Senior Staff Engineer Full Stack Engineer at Ridgeline, 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. With your deep expertise in AI systems, you’ll lead efforts to solve complex challenges, enhance platform capabilities, and drive innovation using state-of-the-art technologies.

What will you do?

  • Lead the design and delivery of next-generation AI capabilities, including integrating LLMs, RAG workflows, and AI Agents into Ridgeline’s platform.
  • Define and execute the AI strategy, collaborating with product and engineering leaders to identify high-value opportunities.
  • Architect scalable, robust AI pipelines that can operate seamlessly in cloud-based production environments.
  • Research and implement state-of-the-art AI models and algorithms, ensuring Ridgeline maintains a competitive advantage.
  • Mentor engineers across the organization, fostering technical growth and advancing a culture of innovation.
  • Collaborate with cross-functional teams to deliver end-to-end AI-driven solutions, aligned with customer needs and business goals.
  • Establish best practices for AI development, ensuring performance, reliability, and ethical AI standards.
  • Stay ahead of AI advancements and evaluate their applicability to Ridgeline’s platform, sharing insights to keep our team at the forefront of AI innovation.

Desired Skills and Experience

  • 10+ years of software engineering experience, with at least 5 years focused on AI / ML development.
  • Proven track record of architecting and deploying machine learning systems, particularly LLMs, in production environments.
  • Deep expertise in AI Agent frameworks, Retrieval Augmented Generation (RAG), and fine-tuning of large models.
  • Exceptional programming skills in Python and familiarity with languages like Kotlin or Java.
  • Strong knowledge of cloud platforms (AWS preferred) and distributed systems.
  • Demonstrated ability to lead and mentor engineers, driving technical excellence across teams.
  • Strong communication and collaboration skills to navigate complex projects and deliver impactful solutions.
  • Bonus

  • Experience with Reinforcement Learning (RL), multi-agent systems, LLM model evaluation.
  • Publications in AI conferences or contributions to high-profile open-source projects.
  • Knowledge of investment management workflows and opportunities for AI-driven solutions in finance.
  • 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

    [For New York and California Based Only]

    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.

    #LI-Hybrid

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