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Skills
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Cloud Computingunmatched
Cross-Functionalunmatched
Dockerunmatched
Enterprise Data Integrationunmatched
GCP (Good Clinical Practices)unmatched
Identify Issuesunmatched
Kernel Programmingunmatched
Memory Hardwareunmatched
Microsoft Windows Azureunmatched
Modeling Languagesunmatched
Node.jsunmatched
Scalable System Developmentunmatched
Use Casesunmatched
Description
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)