G2i
Full Stack Engineer (AI-Native) — React + Node
Remote AI Native Fullstack Engineer role with clear candidate location fit.
PostedJul 9, 2026
Eligible countries1 accepted country
Seniority signalJunior, Middle
Work settingRemote
Accepted candidate locations
USA
Role overview
Full Stack Engineer (AI-Native) — React + Node
Requirements and responsibilities
Readable role content extracted into sections for faster review.
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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