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Luminary

Software Engineer - Frontend

Remote/Hybrid (Remote)$170k–$225kfulltimemidAdded today

About this role

Luminary seeks a frontend engineer to build AI-native interfaces for wealth transfer advisory services. You'll own frontend architecture, create complex diagramming tools and agent chat surfaces, and partner with design to deliver delightful interfaces for high-net-worth financial planning.

What you'll do

  • Build AI-native interfaces including agent chat surfaces and ambient agent visibility layers
  • Own frontend architecture covering component patterns, state management, performance, and shared primitives
  • Design and implement complex entity structure diagrams with dozens of relationships
  • Partner daily with product designers and Head of Design on UI/UX decisions
  • Ensure attention to detail in empty states, loading behavior, and keyboard navigation
  • Ship production code multiple times daily through CI/CD pipelines

What they're looking for

  • Frontend development (4+ years experience)
  • React or similar modern frontend frameworks
  • Apollo Client and GraphQL state management
  • Complex data visualization and diagramming
  • TypeScript
  • Component systems and design patterns
  • Performance optimization
  • UI/UX attention to detail

Benefits

  • Remote or hybrid work (office in NYC near Bryant Park)
  • Modern development tooling (Meticulous, Honeycomb, Temporal, PostHog, Braintrust)
  • Engineers ship to production multiple times daily
  • Direct customer engagement and business outcome ownership
  • Collaboration with experienced product designers
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Luminary

Luminary builds AI-powered products and is seeking software engineers who combine technical expertise with a product-focused mindset to develop and enhance these solutions. The company values collaborative engineering teams and offers opportunities for engineers to directly influence product development.

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Likely interview questions

  • Tell us about a complex frontend architecture you've owned—how did you approach component patterns and state management at scale?
  • Describe your experience building data visualization or diagramming tools. How did you handle performance with large, interconnected datasets?
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