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Senior Full-Stack Engineer (Latam and APAC)

🇺🇸 Atlanta, United States Fully remote8+ years
Required Candidate location: Central America, South America, Asia, Oceania or Mexico

This position is no longer available

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Skills & Languages

Must-have required
Node.js3 Year(s)React.js3 Year(s)Typescript3 Year(s)Vectorization2 Year(s)
Languages required
English

About the Role

Join a distributed engineering team building cutting-edge, AI-powered products within a modern, service-oriented ecosystem. The mission of this project is to design and scale a high-performance, event-driven architecture using TypeScript, Node.js, and React.

The core engineering challenge lies in developing reliable, observable systems that integrate complex AI tools, semantic search, and retrieval-augmented generation (RAG) capabilities. You will take full ownership of critical API and front-end components, ensuring robust performance, clean architecture, and advanced security.

Most Important

  • 8+ years of professional software engineering experience, with at least 3+ years specifically focused on Node.js backend development.
  • Strong professional experience with React and TypeScript for building complex, scalable front-end components.
  • Deep knowledge of backend technologies, including Express (or similar frameworks), RESTful API design, and asynchronous patterns (promises, async/await, streams).
  • Strong SQL fundamentals with hands-on PostgreSQL performance tuning, along with experience using vectorized databases or extensions (e.g., pgvector, Pinecone, Supabase).
  • Production experience with Docker, containerization, and advanced CI/CD pipelines.
  • Strong understanding of OAuth 2.0, JWT, secure coding practices, and caching strategies (Redis).
  • Passion for automated testing, clean architecture, and highly observable system design.

Nice to Have

  • Experience with advanced Node.js frameworks and ORMs, such as TypeORM, NestJS, Fastify, or GraphQL.
  • Familiarity with NLP, semantic search, or retrieval-augmented generation (RAG) concepts.
  • Experience integrating AI tools and LLMs into real-world applications.
  • Exposure to cloud-native infrastructure, specifically AWS services (ECS, EKS, S3, Lambda).

Includes 4 screening questions.

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