G2i

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

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

Qualifications

  • 5+ years of Full Stack Engineering experience or similar roles.
  • Strong proficiency in JavaScript/TypeScript, React.js, and Node.js.
  • Hands-on experience with LLM/AI API integration into production applications.
  • Familiarity with RESTful APIs or GraphQL standards.
  • Experience using SQL and NoSQL databases like PostgreSQL and MongoDB.
  • Comfortable with modern AI-assisted development tools.
  • Excellent verbal communication and collaboration skills.

Responsibilities

  • Design, develop, and maintain scalable web applications using React.js and Node.js.
  • Integrate large language models and AI services into production features.
  • Build and maintain data layers for AI functionalities, including embeddings and context pipelines.
  • Measure and optimize AI feature quality, reliability, and cost.
  • Collaborate with teams to design and deliver new features.
  • Implement best practices for performance optimization and security.
  • Work with DevOps to automate deployment processes.

Benefits

  • Fully remote work environment.
  • Emphasis on collaboration in a remote-first setting.
  • Opportunity to work with cutting-edge AI technologies.
  • Focus on professional development through knowledge sharing.
  • Engagement in building impactful AI-powered applications.
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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