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# AI Engineer with Azure

- **Company:** Themesoft Inc
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), OpenAI, Azure Machine Learning, Software Deployment, Software Engineering, Enterprise Search, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, IT Architecture, Generative AI, Agentic-AI, Evaluation of Large Language Models, Invoking Functions, Restful APIs, Api Management
- **Published:** November 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pwtu9xodrr

## About the Role

* 8+ years of software engineering/application development experience.
 * 3+ years of Azure/cloud-native development experience.
 * Strong hands-on experience delivering GenAI/LLM, RAG and Agentic AI solutions.
 * Experience leading engineering teams and taking AI solutions from PoC to enterprise production.

Must-Have Skills

 * GenAI / LLMs, RAG and Agentic AI
 * Microsoft Foundry, Azure OpenAI, Azure AI Search
 * Python and REST APIs
 * Prompt engineering and embeddings
 * Vector/hybrid search and retrieval/reranking

## Description

Seeking a hands-on AI Engineer Lead to lead engineering and production implementation of enterprise Generative AI solutions on Microsoft Azure. The role will translate AI architecture into scalable, secure, production-ready solutions while providing technical leadership to the engineering team., * Lead end-to-end AI engineering from design and development through testing and production deployment.

 * Build LLM, RAG and Agentic AI solutions using Microsoft Foundry, Azure OpenAI and Azure AI Search.
 * Develop RAG pipelines covering chunking, embeddings, vector/hybrid search, retrieval, reranking and grounding.
 * Build AI agents, tool/function calling, structured outputs and enterprise API integrations.
 * Lead code/design reviews, troubleshoot complex technical issues and ensure production readiness.
 * Mentor AI engineers and convert architecture into executable engineering tasks.
 * Work closely with AI Architects, Product Owners, business, data, cloud and security teams., * LLM evaluation, grounding and hallucination mitigation
 * Guardrails/content safety and context/token management
 * Production-grade cloud application development and troubleshooting

Preferred

Azure Machine Learning, multimodal AI, AI monitoring/observability, Responsible AI, CI/CD and Azure DevOps.

Regards

Patrick Fernandez