jobapplier

Senior AI Builder

Earnin

Skills

Required

  • open source
  • LLM models
  • software engineering
  • LLM integration patterns
  • prompt engineering
  • RAG pipelines
  • tool/function calling
  • agent architectures

Preferred

  • MCP
  • LangChain
  • reinforcement learning
  • RLHF / RLAIF / reward modeling

Join EarnIn, a company dedicated to making AI-native engineering a core capability. As a Senior AI Builder, you will design and build the tools, patterns, and guardrails that make AI adoption fast, safe, and durable. You will work at the intersection of platform engineering, developer experience, and applied AI, and your work will have a direct impact on the lives of real people who depend on EarnIn to access their pay when it matters most.

Proficiency and comfort working across the stack when needed

Hands-on work with AI governance — bias evaluation, audit logging, model cards

Exposure to multi-step reasoning pipelines or human-in-the-loop system design

Responsibilities

  • Concevoir et construire des agents et des infrastructures qui prennent des décisions réelles pour les utilisateurs d'EarnIn.
  • Travailler à l'intersection de l'ingénierie de plateforme, de l'expérience développeur et de l'IA appliquée pour construire des outils et des modèles.
  • Posséder l'infrastructure d'évaluation, construire les pipelines, les benchmarks et les portes de qualité qui déterminent si notre IA fonctionne.

Requirements

Experience with open source LLM models

  • Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or a related technical discipline, or equivalent industry experience. We care about what you’ve built, not where you studied
  • 4+ years of full-time software engineering experience, with at least 2 years building tooling, platforms, or internal developer products
  • Strong opinions about developer experience and a track record of building things other engineers actually use
  • Hands-on experience with LLM integration patterns — prompt engineering, RAG pipelines, tool/function calling, and agent architectures

Preferred

  • Experience with MCP, LangChain, or comparable orchestration frameworks
  • Hands-on experience with reinforcement learning — especially RLHF, RLAIF, or reward modeling in applied product contexts
  • Experience in fintech or regulated/security-sensitive environments

Pay

USD 228,000 - 279,000