AI Developer

Glint Tech Solutions LLC

$120K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong hands-on experience with Node.js
  • Proven experience building AI Agents
  • Strong experience working with Large Language Models (LLMs)
  • Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
  • Experience integrating LLMs with APIs, databases, and external tools
  • Solid understanding of prompt engineering and AI application architecture
  • Ability to build scalable backend services for AI applications

Responsibilities

  • Design and develop production-ready AI agents for enterprise use cases
  • Build AI-powered applications using modern LLM frameworks
  • Implement Retrieval-Augmented Generation (RAG) pipelines to improve model accuracy
  • Develop scalable backend services using Node.js
  • Integrate LLMs with enterprise data sources, APIs, and business workflows
  • Optimize prompt engineering, tool calling, memory, and agent orchestration
  • Collaborate with cross-functional engineering and product teams to deliver AI-driven solutions
  • Troubleshoot, optimize, and enhance AI application performance

Benefits

  • Opportunity to work with cutting-edge AI technologies
  • Engage in the creation of enterprise-scale AI solutions
  • Collaborative work environment with cross-functional teams
  • Focus on innovative projects that leverage LLM and RAG
  • Career advancement opportunities in the AI field
Full Job Description
AI Developer

We are seeking an experienced AI Engineer to join a cutting-edge AI team focused on building next-generation intelligent applications and autonomous AI agents.

This is an exciting opportunity to work on enterprise-scale AI solutions leveraging Large Language Models, Retrieval-Augmented Generation (RAG), and modern Node.js development.

Responsibilities
  • Design and develop production-ready AI agents for enterprise use cases
  • Build AI-powered applications using modern LLM frameworks
  • Implement Retrieval-Augmented Generation (RAG) pipelines to improve model accuracy
  • Develop scalable backend services using Node.js
  • Integrate LLMs with enterprise data sources, APIs, and business workflows
  • Optimize prompt engineering, tool calling, memory, and agent orchestration
  • Collaborate with cross-functional engineering and product teams to deliver AI-driven solutions
  • Troubleshoot, optimize, and enhance AI application performance

Required Qualifications
  • Strong hands-on experience with Node.js
  • Proven experience building AI Agents (must-have)
  • Strong experience working with Large Language Models (LLMs)
  • Experience designing and implementing RAG (Retrieval-Augmented Generation) solutions
  • Experience integrating LLMs with APIs, databases, and external tools
  • Solid understanding of prompt engineering and AI application architecture
  • Ability to build scalable backend services for AI applications

Nice to Have
  • Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks
  • Experience with vector databases such as Pinecone, Weaviate, Milvus, or ChromaDB
  • Experience with OpenAI, Anthropic, Gemini, or other foundation models
  • Cloud experience with Azure, AWS, or GCP
  • Docker/Kubernetes experience

Required Skills (Must Have)

Node.js
AI Agents (Hands-on Development)
Large Language Models (LLM)
Retrieval-Augmented Generation (RAG)

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