Full Stack Engineer (AI-Native) — React + Node
G2i Inc.
Role Description
We're looking for experienced Full Stack Engineers with hands-on AI experience to join our developer network. In this role, you'll design and ship scalable web applications using React.js on the front end and Node.js on the back end — and you'll bring AI capabilities directly into the product, integrating large language models and AI services into real, user-facing features.
You'll collaborate closely with cross-functional teams to deliver new features, optimize performance, and uphold high standards of code quality and reliability. You're comfortable working in an AI-native engineering environment — both building AI-powered features and using modern AI tooling in your day-to-day workflow. Strong communication skills are key, as you'll be working in a collaborative, remote-first environment.
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.
Qualifications
- 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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