Full-stack Engineer

  • Closed
  • US Company | Medium ( employees)
  • LATAM (100% remote)
  • 5+ years
  • Long-term (40h)
  • Finance
  • Full Remote

Required skills

  • TypeScript
  • Node.js
  • React.js
  • LLM
  • RAG
  • Generative AI

Requirements

Must-haves

  • 5+ years of software development experience
  • Proficiency with Node.js
  • Proficiency with React
  • Experience with TypeScript
  • Experience working with Generative AI and LLMs (OpenAI, Gemini, Anthropic, etc.)
  • Deep knowledge of prompt engineering, RAG architectures, and large-scale LLM API implementation
  • Strong understanding of software architecture, design patterns, testing (unit and integration), Git, and CI/CD pipelines
  • Experience with SQL and NoSQL databases
  • Ability to design and maintain scalable web applications
  • Strong communication skills in both spoken and written English

Nice-to-haves

  • Startup experience
  • Experience in the FinTech or Mortgage/Lending domain
  • Public Git repository or demonstrable code showcasing AI projects
  • Experience with vector databases (Pinecone, Chroma, etc.)
  • Experience with Kubernetes and Infrastructure as Code
  • Experience building high-availability, low-latency microservices on AWS, GCP, or Azure
  • Bachelor’s Degree in Computer Engineering, Computer Science, or equivalent

What you will work on

  • Own the complete lifecycle of AI-driven features, covering backend services, databases, and user interface integration
  • Design and implement scalable backend systems using Node.js and TypeScript
  • Develop responsive and interactive web interfaces with React
  • Build and maintain high-performance, type-safe APIs for real-time LLM inference and context retrieval
  • Rapidly design and deploy prototypes and MVPs to validate ideas and accelerate adoption
  • Apply pragmatic engineering practices to balance delivery speed, system stability, and compliance in a financial context
  • Oversee system deployment, monitoring, optimization, and cost efficiency
  • Research and integrate emerging AI tools and frameworks to enhance product innovation