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# Full Stack AI Engineer (Azure)

- **Company:** SIDHSOL INC
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $135,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Python (Programming Language), Node.Js, Azure Machine Learning, Software Engineering, Systems Integration, Web Applications, Chatbots, ReactJS, Retrieval-Augmented Generation, Large Language Models, Build Management, AngularJS, GPT, Data Pipelines, Web Api, Microservices
- **Published:** June 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a41c284f623e6c7e

## About the Role

Do you have experience in Web applications?, Role OverviewWe are looking for a Full-Stack AI Engineer to design, build, and deploy end-to-end AI solutions. This role requires hands-on experience across application development, LLM integration, data pipelines, and cloud deployment-primarily on Microsoft Azure. Strong experience with Anthropic Claude (Code and Design) in an enterprise environment is highly preferred., * Strong experience in Python and/or Node.js* Experience building full-stack applications (React/Angular + backend APIs)* Hands-on experience with LLMs and GenAI frameworks* Proven experience with Claude Code and Design (Anthropic)* Experience with RAG architectures, vector databases, and embeddings* Solid experience with Azure cloud services (Azure OpenAI, Azure ML, Storage, Functions)* Understanding of APIs, microservices, and scalable architecture.

## Description

* Design and develop end-to-end AI applications (UI, backend APIs, and model integration)* Build and deploy LLM-powered solutions (chatbots, copilots, AI assistants)* Implement RAG (Retrieval-Augmented Generation) pipelines using enterprise data* Develop and manage data pipelines for ingestion, transformation, and embeddings* Integrate AI models (Claude, GPT, etc.) into production systems* Deploy, scale, and monitor applications on Azure (App Services, Functions, AKS, etc.)* Collaborate with stakeholders to translate business needs into AI solutions* Ensure performance, security, and cost optimization


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