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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer (Mid-Level) - **Company:** Staffxpert Llc - **Location:** Frisco, TX, United States - **Experience:** Experienced - **Salary:** $106,250.0 - $143,750.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Cloud Services, Azure Machine Learning, Software Deployment, Software Engineering, Systems Integration, Enterprise Software Applications, Large Language Models, Prompt Engineering, IT Architecture, Generative AI, Git, AI Platforms, Information Technology, Machine Learning Operations, Virtual Agents, Restful APIs, Docker - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/jobad/us8e5a957e9a08b9bf7a54cf3ee653a0ca ## About the Role Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field. 4 to 7 years of software engineering experience, including hands-on AI/ML or Generative AI development. Strong proficiency in Python. Experience with: OpenAI or Azure OpenAI Azure AI Services or AWS Bedrock LangChain and/or LangGraph Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents and Prompt Engineering Vector Databases REST API development and integration Docker and Kubernetes Git and cloud-native development practices Cloud platforms such as Microsoft Azure or AWS Experience integrating AI solutions with enterprise systems and applications. Understanding of AI security, governance, and responsible AI principles. Strong analytical, problem-solving, and communication skills. Ability to collaborate effectively with both technical teams and business stakeholders. Preferred Qualifications Experience building and deploying production-grade RAG solutions and AI agent frameworks. Knowledge of MLOps, CI/CD pipelines, and AI deployment best practices. Experience within automotive, manufacturing, or industrial environments. Microsoft Azure, AWS, or AI-related certifications. Familiarity with enterprise AI architecture and governance frameworks. Technical Skills, FIRE PROTECTION ENGINEER JOB DESCRIPTION Position Summary: Allied Fire Protection is seeking a Fire Protection Engineer with a minimum of 5 years of experience in fire protec… + 10 days ago ## Description STAFFXPERT LLC is seeking an AI Engineer on behalf of our client in Frisco, TX to design, develop, and deploy enterprise-grade AI solutions that address complex business challenges. This role is ideal for a hands-on engineer with experience in Generative AI, Large Language Models (LLMs), AI agents, and cloud-native application development. The selected candidate will collaborate with cross-functional teams to build scalable, secure, and production-ready AI applications that deliver measurable business value. Key Responsibilities Design, develop, and implement enterprise AI and Generative AI applications. Build AI-powered solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and prompt engineering techniques. Collaborate with business stakeholders, product teams, and technical leaders to translate business requirements into scalable AI solutions. Develop and integrate APIs and AI services with enterprise platforms and applications. Optimize AI models, workflows, and system performance for scalability, reliability, security, and cost efficiency. Partner with AI Architects, Data Engineers, Software Engineers, and Product Owners to deliver production-ready solutions. Evaluate emerging AI tools, frameworks, and cloud services to enhance business outcomes. Contribute to engineering best practices, reusable AI components, technical documentation, and development standards. Support AI proof-of-concepts, pilot programs, and innovation initiatives. Stay current with advancements in Generative AI, Agentic AI, cloud technologies, and AI engineering methodologies., Python OpenAI / Azure OpenAI Azure AI Services or AWS Bedrock LangChain LangGraph LLMs Retrieval-Augmented Generation (RAG) AI Agents Prompt Engineering Vector Databases REST APIs Docker Kubernetes Git Azure or AWS Nice-to-Have Skills: MLOps CI/CD AI Governance Enterprise AI Architecture Manufacturing or Automotive Domain Experience ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [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) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Will AI replace Software Engineers?](https://www.wearedevelopers.com/magazine/340-will-ai-replace-software-engineers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)