Remote AI Full-Stack Engineer — LLMs, RAG & Cloud

Zealogics.com

United States

Remote

USD 130,000 - 190,000

Full time

5 days ago
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Job summary

Zealogics.com is seeking a highly experienced AI Full Stack Developer for a fully remote opportunity. The role focuses on architecting and building enterprise-grade Generative AI, Agentic AI, and full-stack apps, with hands-on work on LLM-powered platforms, RAG pipelines, and cloud-native microservices using Azure, AWS, and modern stacks.

The ideal candidate blends AI engineering with backend/frontend development, cloud architecture, and data engineering to deliver intelligent, scalable, and

Qualifications

  • 10+ years of full-stack development using .NET, C#, Python, Node.js, React.
  • Strong hands-on experience with Generative AI, LLMs, RAG, AI Agent frameworks, and vector search.
  • Mastery in cloud engineering - especially Azure AI Foundry, Azure OpenAI, Azure ML.
  • Experience building CI/CD, DevSecOps, and secure cloud infrastructures.
  • Proficiency in relational and NoSQL databases (SQL Server, PostgreSQL, Oracle, MySQL, MongoDB, Cosmos DB).

Responsibilities

  • Architect and build enterprise-grade AI and full-stack applications.
  • Implement LLM-powered platforms and RAG pipelines.
  • Collaborate across AI engineering, backend/frontend development, cloud architecture and data engineering to deliver intelligent, scalable, and secure solutions.

Skills

Full-stack development (NET/C#)
Python
Node.js
React
Generative AI / LLMs
RAG
AI Agent frameworks
Vector search
Cloud engineering (Azure)
CI/CD / DevSecOps
Databases (SQL/NoSQL)
Azure AI Foundry
Azure OpenAI
Azure ML
SQL Server
PostgreSQL
Oracle
MySQL
MongoDB
Cosmos DB

Tools

Azure AI Foundry
Azure OpenAI
Azure ML
CI/CD tooling
DevSecOps
SQL Server
PostgreSQL
Oracle
MySQL
MongoDB
Cosmos DB

Job description

Zealogics.com is seeking a highly experienced AI Full Stack Developer for a fully remote opportunity. The role focuses on architecting and building enterprise-grade Generative AI, Agentic AI, and full-stack apps, with hands-on work on LLM-powered platforms, RAG pipelines, and cloud-native microservices using Azure, AWS, and modern stacks.

The ideal candidate blends AI engineering with backend/frontend development, cloud architecture, and data engineering to deliver intelligent, scalable, and

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