6 Aug 2026

Senior Software UI Engineer

Nerdio

Netherlands

6 Aug 2026

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Nerdio is seeking a Senior Software UI Engineer to participate in a ground-up design and build of a new platform, with a primary focus on UI and secondary full-stack/backend work in C#. The role requires 5+ years of professional software development experience, strong proficiency in TypeScript and React, and hands-on experience with AI coding assistants like Claude. This is a hands-on, individual-contributor role in a fast-moving, collaborative environment.

AI-enabledHybridFull-timeSeniorTypeScriptReact

Senior Software UI Engineer

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AI-enabledHybridFull-timeSeniorTypeScript

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Hybrid

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

TypeScriptReactC#REST APIsGraphQLData ModelingClaudeChatGPTCopilotDebuggingPerformance Tuning

Soft Skills

CollaborativeEmpatheticDrivenComfort with ambiguityGood judgmentStrong partnership

Preferred Qualifications

Technical (Nice-to-have)

Claude CodeAnthropic APIMCP serversLLMsAgentic coding patternsContext window managementPrompt designSub-agent orchestrationAutomated code review pipelinesDesign systemComponent libraryCI/CDDevOpsAzureAWSGCP

Key Responsibilities

•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.

Senior Software EngineerUI EngineerFull-stackTypeScriptReactC#AI-assisted developmentClaudeHybridNetherlands

Key Responsibilities

•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.