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Nomni

Full-Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A strong track record of building and successfully shipping real products.
  • Strong frontend engineering capabilities and a strong eye for usability and product quality.
  • Hands-on experience with React, React Native, Next.js, TypeScript, and JavaScript.
  • Experience working with Node.js, APIs, databases, backend services, and integrations.
  • Proven experience building and releasing mobile applications.
  • A strong understanding of how modern products are designed, developed, tested, deployed, and operated.
  • Good engineering judgment and a practical approach to technical decision-making.
  • Comfort working with incomplete requirements and identifying an effective path forward.
  • Strong ownership, curiosity, adaptability, and willingness to support product needs across areas.

Responsibilities

  • Build polished product experiences across web and mobile.
  • Work primarily with React, React Native, Next.js, TypeScript, and JavaScript.
  • Develop supporting services and APIs using Node.js.
  • Work with Supabase, databases, REST APIs, and third-party integrations.
  • Take features from early concepts through implementation, testing, deployment, and production.
  • Make practical decisions regarding architecture, tooling, and technical trade-offs.
  • Bring structure and clarity to rapidly evolving products and incomplete requirements.
  • Use modern AI-assisted development workflows to improve delivery speed and productivity.
  • Build, integrate, and improve AI-enabled product capabilities.
  • Support AI evaluation, experimentation, observability, tracing, and debugging.
  • Maintain and improve products following launch.
  • Manage multiple projects and priorities while retaining end-to-end ownership.

Desired Qualifications

  • Experience developing LLM-powered applications and AI-enabled product capabilities.
  • Knowledge of AI evaluation, experimentation, prompt evaluation, and model assessment.
  • Experience with AI observability, tracing, and debugging.
  • Familiarity with Braintrust, Langfuse, or similar AI evaluation and observability platforms.
  • Experience working within small, fast-moving product teams.
  • Relevant domain experience across web, mobile, backend, and AI-assisted product development.

About the Company

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Total funding
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