Senior Software UI Engineer

We are looking for a Senior Software Engineer to participate in a ground-up design and build of a new platform from a blank codebase, with a primary focus on the UI and a secondary assignment on full-stack/backend work in C#. This is a hands-on, individual-contributor role for an engineer who's great at faithfully implementing a UI/UX designer's vision, turning Figma files and Claude-generated design templates into clean, production-grade front-end code, while also being a capable, reliable contributor on the C# services that support the UI. You'll help define a new product from day one and see AI-assisted development, particularly with Claude, as core to how modern software is built rather than a novelty bolted on afterward.

You'll work directly with Claude (via Claude Code, the API, and related tooling) as a force multiplier across the SDLC: scaffolding components from design files, writing and reviewing code on both the front end and the C# backend, generating tests, and accelerating implementation. This role is about precise, high-quality execution of designs, genuine full-stack contribution, and shipping a reliable, delightful product fast, not people management.

What you'll do

• Implement the platform's UI from Figma files and Claude-generated design templates, translating designer intent into clean, accurate, production-ready components.
• Partner closely with a UI/UX designer throughout the design-to-code process, flagging technical constraints early and proposing feasible alternatives without taking over design decisions.
• As a secondary assignment, design and build the C# services and APIs that support the UI, including data model and infrastructure work in that layer.
• Establish AI-native development workflows using Claude Code and the Claude API to accelerate design-to-code translation, C# service development, scaffolding, refactoring, and test coverage.
• Implement core UI components and the C# services/APIs they depend on, with an emphasis on clean abstractions and long-term maintainability on both sides of the stack.
• Define prompt and context-management patterns (e.g., project-level instructions, skills, sub-agent workflows) that make AI-assisted development repeatable across the team.
• Implement front-end and backend monitoring, telemetry, and diagnostics (performance, error tracking, UX metrics, service health) to improve reliability and operational insight from day one.
• Drive root-cause analysis and troubleshooting across the full stack, from rendering issues down through the C# services, as the system evolves.
• Evaluate and integrate emerging AI developer tooling (agentic coding tools, MCP servers, LLM-assisted testing) as the ecosystem matures.

Required Qualifications

• 5+ years of professional software development experience with strong proficiency in TypeScript and a modern front-end framework (React or equivalent).
• Demonstrated experience implementing pixel-accurate UIs from Figma or similar design tools, including component structure, responsive layout, and design-token/style-guide fidelity.
• Solid, production-level proficiency in C#, sufficient to independently own backend services and APIs as a secondary assignment, not just read or lightly modify existing code.
• Working knowledge of full-stack concerns: REST/GraphQL API design, and basic data modeling.
• Hands-on experience using Claude, ChatGPT, Copilot, or similar AI coding assistants in a real production workflow, not just casual use.
• Strong debugging, troubleshooting, and performance-tuning skills across both the browser and backend services.
• Comfort working in ambiguity, with good judgment on implementation trade-offs as design and product direction sharpen.

Preferred Qualifications

• Experience using Claude (or similar AI tools) to generate design templates or scaffold components directly from Figma files.
• Direct experience with Claude Code, the Anthropic API, or building custom tools/MCP servers around LLMs.
• Familiarity with agentic coding patterns: context window management, prompt/skill design, sub-agent orchestration, or automated code review pipelines.
• Experience working within an established design system or component library alongside a dedicated UI/UX designer.
• Experience with CI/CD pipelines and DevOps practices, including AI-assisted testing or code review.
• Experience with cloud platforms (Azure, AWS, or GCP).