United States
The MITRE Corporation
Glint Tech Solutions LLC
AI Developer
United States
Sunnyvale, California, United States
Node.jsAWSGCPDockerKubernetes
About the opportunity
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
Required Skills (Must Have)
- Node.js
- AI Agents (Hands-on Development)
- Large Language Models (LLM)
- Retrieval-Augmented Generation (RAG)
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
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