Senior Agentic Engineer - Product/UX

All of our code is written through our AI process. We adhere to the Rails Way on a modern Rails 8 stack with Hotwire and Hotwire Native. Our agentic development pipeline ships features quickly, with review informed by our codebase, business logic, and personas. Our custom AI process produces product specs, code, documentation, and tests. This isn't "code with AI's help". It is a structured, end-to-end engineering workflow where AI agents plan, execute, and validate under human oversight. The best fit for our engineering team has enough coding experience to bring great judgment. Someone who recognizes well-structured code, thinks architecturally, and takes a "trust yet verify" approach to AI output, especially because our customers and industry have strong needs around sensitive information. You'll work with engineering leadership and our AI team to develop a holistic understanding of the platform, then own the full development cycle for the work you ship. You'll also apply your engineering mindset to the agentic development process itself to help it evolve. AI Tooling: Claude Code · Wispr Flow Context: AI-native engineering workflow · HIPAA-compliant legal tech About the role The focus of this role is improving the user experience of our application, improving how our agentic development process delivers product quality, and improving AI's ability to assess and enhance usability. We need someone who lives at the intersection of product thinking and technical validation — someone who can take an idea from concept to shipped feature, and who knows the difference between "it works" and "it works well for the people using it." This takes the skills of a team lead who can plan and delegate to agents holistically and strategically. You'll orchestrate how they build features, validate whether the output actually solves user problems, and continuously improve the product (and process) through their work. You need to understand the technical implications of a modal vs. full-page, synchronous vs. asynchronous, monolith vs. component. You need to be able to look at a generated feature and say "this flow is confusing" or "this doesn't actually solve what attorneys need" — and also look at the code behind it and know if it's well-structured. Over time, you'll find new ways to use AI to improve product quality itself — dogfooding the app, surfacing friction points, measuring how many clicks a workflow takes, and suggesting improvements. You'll improve the AI's own understanding of UX/UI best practices so it produces better output by default. You'll build the product observability and feedback loops that let us iterate faster and smarter. What you'll actually do day to day Use and continuously improve our existing agentic orchestration to build and iterate on features end to end. Plan the work, direct the agents, review the output, and improve the process Learn our codebase and domain, and help tighten and refine the platform as it exists today Take new product ideas and feature requests from concept to implementation plan to deployable code — creating specs through voice-first, AI-assisted workflows, not traditional writing Implement and manage product observability: track user behavior, click paths, time-on-task, drop-off points Use AI tools to dogfood the app — surface areas where things look difficult, take too long, or require too many steps, and suggest improvements Improve AI's ability to test the platform for usability and troubleshoot technical issues Work with our personas and user research to ensure features serve the people who actually use the product — attorneys, CASA volunteers, caregivers, families What you'll own Product adoption and stickiness — partner with stakeholders to drive rollout, measure adoption, and iterate until features become default workflows End-to-end user flow testing — automation across web, iOS, and Android that validates the experience, not just the code Product observability — dashboards and tooling that show how users actually interact with what we've built Feature polish and iteration — taking shipped features from "works" to "delights" Product documentation (memory) — AI-generated and AI-consumed. This documentation directly informs future AI sessions, so agents understand what the product should do and why Help documentation and feature descriptions — clear, accurate, and useful content that communicates the product AI-assisted product feedback loops — using AI to identify UX friction before users report it UX/UI knowledge in the AI pipeline — continuously improving the AI's understanding of best practices so output quality rises over time What we're looking for Must have Strong engineering background — you need to be able to truly evaluate AI-generated code quality, not just the UI it produces Strong understanding of UX/UI principles and what makes software intuitive Ability to take a product idea from concept to implementation plan Experience creating acceptance tests or user-story-driven test cases The technical depth to evaluate AI-generated output at the code level — you need to know if it's good code, not just good-looking output Experience with modern Rails frontend technologies (Hotwire, Turbo, Stimulus) Product-minded — you think about who's using this and why, not just what it does Strong communicator — you can produce feature descriptions, help docs, and specs that actually communicate, using voice-first and AI-assisted workflows Self-directed — you see what needs improving and go improve it Excited about pushing the boundaries of AI-assisted development Nice to have Familiarity with mobile platforms (iOS, Android) and Hotwire Native Experience with automation testing frameworks (Selenium, Cypress, Detox, XCUITest, or similar) Familiarity with product analytics and observability tools (Pendo, Mixpanel, PostHog, or similar) Background in product management, UX research, design systems, or team lead roles — you need this skillset now, not eventually Experience managing engineering or product workflows, whether human or automated Experience working alongside code generation or AI tooling (Claude Code, Cursor, or similar) Understanding of accessibility standards and inclusive design Experience in legal tech, healthcare, child welfare, or other mission-driven domains Compensation Compensation at Sunlight Group is determined based on a combination of factors, including the scope and responsibilities of the role, the candidate's experience and skills, and internal equity across our team. The salary range listed for this position reflects our intended hiring range; offers are made thoughtfully within that range based on the full picture of a candidate's background. We believe in paying people fairly and are happy to discuss compensation openly throughout the hiring process. About Sunlight Sunlight is a mission-driven technology company building innovative solutions that connect child-welfare-involved parents and youth with their legal counsel, caseworkers, mentors and other support resources. Our secure, real-time communication platform promotes trust and transparency across the child welfare system and directly contributes to shortening the time children spend in foster care and helping families reunify safely and sooner. #J-18808-Ljbffr Sunlight