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Luminary

Software Engineer - Fullstack

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

About this role

Luminary seeks a fullstack software engineer to build AI-driven features for wealth transfer services. You'll own features end-to-end across document ingestion, knowledge graphs, tax modeling, and agentic workflows, working with modern tooling in a product-focused environment.

What you'll do

  • Design and implement agentic features including chat interfaces, background agents, and model-callable tools
  • Own features end-to-end from data modeling in Postgres through React/TypeScript interfaces
  • Collaborate with product designers and domain experts to translate complex estate planning concepts into usable advisor tools
  • Use coding agents and modern tooling to accelerate development and maintain quality
  • Learn wealth transfer and tax domains from in-house experts and customer conversations
  • Ship small, reviewable changes to production through continuous integration multiple times daily

What they're looking for

  • React and TypeScript
  • PostgreSQL and data modeling
  • Go
  • GraphQL (Apollo)
  • Fullstack web application development
  • Product thinking and customer empathy
  • Playwright or similar testing frameworks
  • Temporal workflow orchestration

Benefits

  • Remote and hybrid work options with NYC office near Bryant Park
  • Modern tooling and emphasis on engineering leverage
  • Direct customer interaction and ownership of business outcomes
  • Exposure to complex domain expertise in wealth transfer and tax advisory
  • Collaborative environment with experienced product designers and subject matter experts
  • Fast deployment cycles with multiple daily production releases
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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

  • Describe a feature you owned end-to-end; how did you balance technical decisions with customer needs?
  • How would you approach learning a complex domain like estate planning while building product features?
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