> Markdown version of [/jobs/ext/1424669-ai-engineer-llm-developer-microsoft-foundry](https://www.wearedevelopers.com/jobs/ext/1424669-ai-engineer-llm-developer-microsoft-foundry). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer / LLM Developer (Microsoft Foundry)

- **Company:** JSR Tech Consulting
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Software Applications, Microsoft Azure, Big Data, Microsoft Online Services, Python (Programming Language), Machine Learning, Azure Machine Learning, Search Technologies, Software Deployment, Software Engineering, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Backend, Microsoft Fabric, Optimization Algorithms, Machine Learning Operations, Restful APIs
- **Published:** July 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f1b38a52798fcff4

## About the Role

* 4+ years of professional software development experience with advanced Python.
 * Hands-on experience building and deploying applications on the Microsoft Foundry platform.
 * Demonstrated experience developing production LLM-based applications-not just experimentation or theoretical knowledge.
 * Experience with prompt engineering, model evaluation, and LLM optimization techniques.
 * Experience integrating AI solutions with enterprise data sources and APIs.
 * Strong understanding of AI application architecture and scalable solution design.
 * Experience building REST APIs and Python-based backend services.
 * Experience working with large and complex datasets.
 * Strong communication skills with the ability to explain AI concepts to technical and business audiences.
 * Experience within financial services is highly desirable.

Nice to Have

 * Microsoft Fabric experience.
 * Azure AI Services / Azure OpenAI.
 * Vector databases and Retrieval-Augmented Generation (RAG).
 * Semantic search and embeddings.
 * Power BI integration.
 * Machine Learning experience.
 * MLOps or AI deployment pipelines.
 * Experience with LangChain, Semantic Kernel, AutoGen, or similar AI frameworks.

## Description

Microsoft Foundry, Python, LLM Development, Azure AI, Prompt Engineering, APIs, Microsoft Fabric (plus), Power BI (plus)
What You Will Do

 * Design, develop, and deploy production-grade AI applications using the Microsoft Foundry platform.
 * Build custom Generative AI solutions leveraging Large Language Models (LLMs) to solve complex business problems.
 * Develop AI-powered applications that integrate seamlessly with the Microsoft ecosystem, including Azure services, Microsoft Fabric, and Power Platform where appropriate.
 * Build and optimize Retrieval-Augmented Generation (RAG) solutions and other enterprise AI architectures.
 * Develop Python-based services, APIs, and automation workflows supporting AI applications.
 * Evaluate, fine-tune, and optimize LLM performance for accuracy, scalability, and business value.
 * Collaborate with business stakeholders to translate business problems into AI-driven solutions.
 * Integrate enterprise data sources into AI applications while ensuring security and governance best practices.
 * Prototype new AI capabilities and transition successful prototypes into production.
 * Document AI architectures, development standards, and implementation best practices.
 * Stay current with emerging AI technologies and recommend practical applications for the organization.


## Related Videos

- [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)
- [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)