G2i
Full Stack Engineer (AI-Native) — React + Node
Vaga remota de AI Native Fullstack Engineer com fit claro de localização do candidato.
Publicada9 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeJunior, Middle
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Full Stack Engineer (AI-Native) — React + Node
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Responsibilities
- Design, develop, and maintain scalable full-stack applications using React.js, Node.js, and TypeScript.
- Integrate LLMs and AI services into production features — structured outputs, retrieval-augmented generation (RAG), and agentic or tool-using workflows.
- Build and maintain the supporting data and retrieval layers for AI features (embeddings, vector search, context pipelines).
- Measure and improve AI feature quality, reliability, latency, and cost through evaluation and guardrails.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Implement best practices for platform engineering, performance optimization, and security.
- Work closely with DevOps to automate and streamline deployment processes.
- Write clean, testable, and efficient code, and participate in code reviews.
- Stay current with emerging AI and web technologies and share knowledge with peers.
Requirements
- 5+ years of experience as a Full Stack Engineer or in similar roles.
- Strong proficiency with JavaScript/TypeScript, React.js, and Node.js.
- Hands-on experience integrating LLM / AI APIs (e.g., OpenAI, Anthropic) into production applications.
- Familiarity with RESTful APIs or GraphQL.
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Understanding of authentication and authorization (OAuth, JWT).
- Comfort working with modern AI-assisted development tools as part of your workflow.
- Excellent verbal communication and collaboration skills.
- US citizenship or residency (no visa sponsorship available).
Preferred Qualifications
- Experience building RAG systems and working with vector databases (pgvector, Pinecone, Weaviate, or similar).
- Familiarity with agent/orchestration frameworks or the Model Context Protocol (LangChain, LlamaIndex, or custom tooling).
- Prompt engineering and experience with AI evaluation / observability tooling.
- Experience with cloud services (AWS, Azure, or GCP).
- Familiarity with state management libraries (Redux, MobX).
- Experience with modern JavaScript build tools (Webpack, Babel).
- Knowledge of testing frameworks (Jest, Mocha).
- Understanding of asynchronous programming and event-driven architecture.
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