G2i

Full Stack Engineer (AI-Native) - React + Node

G2i$100K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

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 large language models (LLM) and AI APIs into production applications
  • Familiarity with RESTful APIs or GraphQL
  • Experience with SQL and NoSQL databases
  • Comfort working with modern AI-assisted development tools
  • Excellent verbal communication and collaboration skills

Responsibilities

  • Design, develop, and maintain scalable full-stack applications
  • Integrate LLMs and AI services into production features
  • Build and maintain supporting data and retrieval layers for AI features
  • Measure and improve AI feature quality, reliability, latency, and cost
  • 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

Benefits

  • Remote work opportunity
  • Collaboration in a remote-first environment
  • Access to advanced AI tooling and technologies
  • Opportunities for continuous learning in AI and web technologies
  • Participation in a developer network enhancing professional growth
Full Job Description
Location: Remote - Must be authorized to work in the US (no visa sponsorship available) SkillSet: React + Node, FullStack, AI Integration (candidates are vetted for React, Node, and applied-AI skills)

About the Role
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.


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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