> Markdown version of [/jobs/ext/3555879-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3555879-ai-engineer). 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

- **Company:** Insight Global
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Automated Storage and Retrieval Systems, User Authentication, Microsoft Azure, Databases, Information Engineering, Data Visualization, DevOps, Python (Programming Language), Machine Learning, Automation of Marketing, Node.Js, Release Management, OpenAI, Azure Machine Learning, Responsive Web Design, Software Engineering, Data Processing, Cloud Platform System, ReactJS, Large Language Models, Generative AI, Backend, Containerization, Information Technology, Graphql, Model Context Protocol, Data Pipelines, Docker, Service Stack, Jenkins
- **Published:** October 2, 2026
- **Apply:** https://dejobs.org/x/x/B30A1030DCA84B7ABC2AB4E2F98A739C/job/

## About the Role

frameworks and Azure AI services, and a proven ability to deliver end-to-end AI solutions in enterprise environments., * A minimum of seven years of experience in software development, including at least two years focused on AI/ML technologies and over four years of hands-on expertise with Python. * Proficiency in Python, Node.js, and React.js, with a strong background in backend services and data processing. * Experience with cloud platforms (preferably Azure) and CI/CD pipelines. * Solid understanding of authentication, authorization, and data protection best practices. * Strong problem-solving abilities and effective communication skills. * Hands-on experience with generative AI frameworks and models (e.g., LangChain, OpenAI APIs).. * Familiarity with LLMs, vector databases, and retrieval systems. * Programmatic Integration with Microsoft 365 Using Graph API and Entra ID Authentication * Knowledge of data visualization libraries and dashboarding tools. * Exposure to containerization technologies such as Docker and Kubernetes. * Familiarity with DevOps tools including Jenkins and Azure
DevOps. * Understanding of database and data engineering fundamentals. * Experience with Model Context Protocol (MCP) integration and server development. * Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

## Description

Insight Global is seeking a skilled AI Engineer to support one of our clients in the government sector. The AI Engineer will design, develop, and deploy intelligent applications that leverage modern AI technologies, large language models, and cloud-based data platforms to deliver scalable, production-ready solutions. This individual will build and enhance AI-powered applications across the full technology stack, including responsive user interfaces, backend services, APIs, and data pipelines. Responsibilities include integrating LLMs and machine learning capabilities into customer-facing tools, developing chat-based data interaction platforms, collaborating with cross-functional teams to implement cloud-based AI solutions, rapidly prototyping new capabilities, supporting DevOps and release management processes, and maintaining technical documentation throughout the software development lifecycle. The ideal candidate will possess strong Python development skills, experience with modern AI


## Related Videos

- [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more)
- [Develop AI-powered Applications with OpenAI Embeddings and Azure Search](https://www.wearedevelopers.com/videos/828-develop-ai-powered-applications-with-openai-embeddings-and-azure-search)
- [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [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)
- [Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!](https://www.wearedevelopers.com/videos/1204-coding-an-immersive-copilot-using-unity-net-and-azure-openai)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)
- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)