Full Stack Engineer, AI Workflow

Are you an experienced engineer with a passion for building scalable backend systems and intuitive front‑end interfaces? Do you thrive when leading complex architectural efforts that power real‑time, high‑value business processes? Are you excited to build AI‑powered solutions that set new industry standards in automation and workflow efficiency? If so, we invite you to join our innovative team.

The Workflow team at Ridgeline is responsible for bringing together deep expertise in workflow orchestration and cutting‑edge Gen AI capabilities to build critical AI‑driven automation that enables automation, coordination, and streamlined operations across our cloud‑native platform. As a Staff Full‑Stack Engineer, you’ll own a suite of services built on a modern Kotlin/React stack running on AWS. You’ll lead the design and implementation of our next‑generation Workflow Engine that combines traditional business logic with AI‑assisted decisioning and natural‑language interaction.

You’ll collaborate closely with the AI Platform team to deliver intelligent, adaptive workflows that differentiate Ridgeline’s offering in the investment management space. You’ll also work with cutting‑edge tools like ChatGPT, Cursor, and Claude Code to accelerate your development process and innovate faster.

At Ridgeline, how we work matters as much as what we build. Ridgliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high‑performing culture. If this excites you, we’d love to meet you.

• Lead the design and development of AI‑enhanced, highly scalable full‑stack services that drive Ridgeline’s workflow capabilities
• Architect the next‑generation Workflow Engine integrating AI reasoning, conditional logic, and parallel execution for dynamic business automation
• Mentor and guide engineers through high‑impact, cross‑functional initiatives
• Collaborate with product and design to deliver intuitive user interfaces that allow customers to configure, monitor, and evolve their workflows with AI insights
• Optimize backend systems for performance, scalability, and maintainability
• Write high‑quality code and tests, and provide thoughtful peer feedback through design and code reviews
• Contribute to a culture of learning, ownership, and continuous improvement
• Champion modern engineering practices including CI/CD, infrastructure as code, test automation, and AI‑assisted observability

• 8+ years of experience in software engineering, with a proven track record of architecting and delivering full‑stack solutions
• Expertise in Kotlin (or Java), and experience with React
• Experience building cloud‑native applications on AWS, Azure, or Google Cloud
• Familiarity with integrating AI/ML models—particularly LLMs, Tool Calling, RAG workflows, or AI Agents—into production systems
• Strong understanding of system design, automated testing, and scalable architecture
• Experience with event‑driven architecture or distributed systems
• Excellent communication and cross‑team collaboration skills
• Ability to lead projects while also contributing as an individual engineer
• Bachelor’s degree in Computer Science or related field
• Creative problem‑solving mindset and a desire to elevate the people around you
• Passion for building collaborative, inclusive engineering teams

• Experience with Business Process Management (BPM) tools or workflow engines
• Familiarity with the investment management or Fin Tech domain
• Hands‑on experience with modern AI tools or frameworks that support software development
• Awareness of the valuable intersection between Generative AI and workflow configuration/automation
• Understanding of ethical AI practices and how to design systems with transparency and trust

Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co‑founder of both People Soft and Workday) to apply his successful formula of solving operational business challenges with bold…