Full Stack AI Engineer (Azure)

SIDHSOL INC
Houston, TX, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$135,200.0
Working hours
Regular working hours
Job source

Tech stack

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
+8 more
Retrieval-Augmented Generation Large Language Models Build Management AngularJS GPT Data Pipelines Web Api Microservices

Job 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

Requirements

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.

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