Software Engineer, Code Platform

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer, Code Platform based in the United States.** This role offers the opportunity to build the next generation of AI-powered design and development experiences. You will work on foundational systems that connect design, code, and intelligent creation workflows at scale. As part of a highly technical platform team, you will solve complex engineering challenges involving AI, infrastructure, and developer experiences. Your work will directly influence how creators and engineers transform ideas into production-ready software. You will contribute to scalable translation pipelines, LLM-powered workflows, and innovative tools that redefine modern product development. This is an environment for engineers who enjoy deep technical ownership, collaboration, and building impactful systems from the ground up. ### Accountabilities: The Software Engineer, Code Platform will design and develop core infrastructure that enables seamless interaction between design systems, code generation, and AI-powered workflows. The role focuses on technical execution, platform scalability, and improving the reliability and quality of next-generation creation tools. - Design, build, and improve code-to-design and design-to-code translation pipelines, including AI-powered and agentic workflows. - Develop and integrate LLM-based systems that support code generation, design interpretation, and intelligent product experiences. - Create evaluation frameworks to measure AI-generated code quality, correctness, reliability, and format accuracy. - Build scalable serialization pipelines, internal APIs, and platform utilities that support future product capabilities. - Diagnose and optimize performance bottlenecks, latency issues, and long-running processes impacting system reliability and user experience. - Improve correctness, reconciliation, and fidelity across complex design systems, layouts, and component structures. - Partner with product and engineering teams to define long-term platform strategy and technical direction. - Establish observability practices and monitor key metrics such as latency, success rates, and system quality. - Contribute to architecture decisions, technical standards, and engineering best practices. - Mentor other engineers and help shape the growth of the technical team through collaboration and knowledge sharing. ## Requirements: The ideal candidate is an experienced software engineer with strong platform engineering skills and a passion for AI-driven product development. You should be comfortable working on complex technical challenges involving frontend systems, infrastructure, and emerging AI technologies. - 5+ years of professional software engineering experience, particularly in web, platform, or infrastructure engineering. - Strong proficiency in TypeScript, JavaScript, and modern frontend engineering principles. - Deep understanding of declarative UI systems such as React, JSX, or similar technologies. - Experience building complex software systems involving multiple stakeholders and cross-functional collaboration. - Familiarity with abstract syntax trees (ASTs), code transformation, compilation concepts, or related technologies. - Experience integrating AI models or LLM-powered capabilities into production products. - Strong debugging skills, including experience resolving performance, rendering, and pipeline latency challenges. - Experience designing scalable platforms, APIs, observability systems, and reliable infrastructure. - Ability to evaluate and improve AI-generated outputs through quality frameworks and technical analysis. - Knowledge of prompt engineering, retrieval-augmented generation (RAG), model evaluation, or agentic workflows is a plus. - Experience with code generation models, AI developer ecosystems, tool-use APIs, or similar technologies is preferred. - Background in…