Software Engineer - Applied AI

About the position

Overview We are looking for a Senior Software Engineer, Applied AI (Senior SWE II) with roughly 5–8 years of experience to join our engineering team. This role is ideal for a product-minded builder who deeply integrates AI tools into their workflow and can operate with speed and autonomy in a fast-moving, ambiguous environment. \You will help build and deploy AI-powered systems directly into the advisor platform , automating complex workflows and enabling financial advisors to run their businesses more effectively. This role sits at the core of the product and growth flywheel , building practical AI solutions that free advisors from time-consuming operational work so they can focus on serving clients and growing their business. What will you be doing? Build production AI features embedded in the platform Design and ship AI-powered capabilities for financial advisors and internal operations teams, including copilots, specialized agents, workflow automations, summarization systems, and intelligent task routing. Develop intelligent agents to automate complex advisor workflows For example, build systems that automatically prepare client meeting materials by pulling context from across Savvy's platform, generating talking points, creating meeting decks, capturing meeting notes, and converting follow-ups into tasks. Work across the full product development lifecycle Identify opportunities where AI can meaningfully improve advisor workflows, design solutions, implement systems, ship quickly to production, and iterate based on real usage and feedback. Operate close to real users and customer feedback Collaborate directly with financial advisors who actively use the product and provide feedback through Slack and other channels, enabling rapid iteration and continuous improvement of the platform. Collaborate cross-functionally to deliver impactful systems Work closely with Product, Design, and other engineering teams to define scope, navigate ambiguity, and deliver high-impact solutions in a fast-growing, high-velocity startup environment. Build in a high-ownership environment Engineers operate with significant autonomy and are expected to connect their work directly to business outcomes, helping Savvy scale its advisor platform and accelerate growth. Tech stackRuby on Rails, React, TypeScript, PostgreSQL, GraphQL, Next.js, AWS What works: Engineers who have built AI systems in production (agents, RAG, multi-step workflows) Backend-leaning , systems-oriented profiles Clear ownership of end-to-end AI features tied to real user workflows What doesn't work: LLM wrapper profiles or light AI integrations Frontend-heavy or product/UI-skewed engineers Traditional ML/search backgrounds without LLM/agent experience Very senior/managerial candidates

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