Builds AI-powered features for developer tools, including generative UIs from natural language, LLM performance improvements, and RAG patterns. Requires 3+ years experience with LLMs, modern AI techniques, and full-stack engineering in TypeScript/Node.js/React.
164k – 306k/yr
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About the role
What You'll Do
Build generative UIs that let users create real apps from natural language
Improve the performance, observability, and safety of our internal model architecture
Extend our AI evaluation systems to support smarter ranking, feedback loops, and product metrics
Develop patterns for retrieval-augmented generation (RAG), few-shot prompting, and agentic architecture
Contribute to building internal tools that help us accelerate iteration on AI features and workflows
You'll work in a TypeScript + Node.js + React stack.
The Skillset You'll Bring
3+ years of professional software engineering experience
A track record of building and shipping real product—not just models or papers
Experience working with LLMs and modern techniques (RAG, CoT, few-shot, embeddings, etc.)
An eye for product: you care how features work and how they feel
Familiarity with vector databases, prompt orchestration tools, and evaluation techniques
A pragmatic mindset about what’s scalable and maintainable in production
Nice to Have
Experience in JavaScript / TypeScript
Experience with PostgreSQL
Exposure to MLOps techniques (e.g., fine-tuning pipelines, model hosting)
Experience mentoring other engineers or working closely with design
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