AI Solutions Engineer

TDIndustries•Dallas, TX

About The Position

TDIndustries is an employee-owned company in the mechanical construction, operations, and maintenance industry, headquartered in Dallas, Texas. Its Technology Services team drives innovation through enterprise platforms, digital products, and emerging technologies, including artificial intelligence. The AI Solutions Engineer / Sr. Software Developer designs, develops, and implements AI-powered solutions and software applications that use machine learning, large language models, and intelligent automation to address business challenges across construction, facilities, and building services operations. The role partners with business stakeholders to identify AI opportunities, creates proof-of-concept solutions, and delivers production-ready applications integrated with enterprise platforms. It also serves as a technical resource on AI/ML best practices, responsible AI governance, and emerging technologies.

Requirements

  • 5–7 years of software development experience, with a current focus on AI/ML development or integration.
  • Proficiency in AI development, including AI-driven CI/CD and Agile frameworks.
  • Experience with LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or similar, and prompt engineering techniques.
  • Strong full-stack development skills in numerous languages and modern web frameworks.
  • Experience with cloud platforms, including compute, storage, and AI services.
  • Proficiency with databases and experience with modern data warehousing solutions.

Nice To Haves

  • Experience with Azure and GCP cloud platforms is preferred.

Responsibilities

  • Design and develop AI-powered applications using large language models, including integrations with Azure OpenAI, Anthropic Claude, and other foundation model providers.
  • Build AI agents and agentic AI solutions that execute multi-step workflows, make decisions, and integrate with enterprise systems.
  • Use Azure AI Foundry and Microsoft Copilot Studio to develop, deploy, and manage AI solutions and custom copilots.
  • Implement retrieval-augmented generation (RAG), vector databases, and semantic search for intelligent document processing and knowledge retrieval.
  • Develop and optimize prompts, prompt chains, and agentic workflows for production AI applications.
  • Build machine learning pipelines for predictive analytics, anomaly detection, and classification relevant to construction and facilities operations.
  • Develop full-stack applications using modern frameworks and technologies, including Python, TypeScript/JavaScript, React, and Node.js.
  • Design and implement RESTful APIs and microservices architectures for AI model serving and application integration.
  • Embed AI-driven CI/CD and Agile approaches into end-to-end development, using intelligent automation for code review, testing, deployment, and sprint planning.
  • Integrate AI capabilities with Microsoft Dynamics 365, Power Platform, and Azure cloud services.
  • Implement CI/CD pipelines, automated testing, and MLOps practices for reliable deployment of AI solutions.
  • Partner with business stakeholders to identify AI opportunities, translate requirements into technical solutions, and deliver proof-of-concept demonstrations.
  • Evaluate emerging AI technologies, tools, and frameworks and provide recommendations for adoption.
  • Support AI governance initiatives, including responsible AI policies, data ethics guidelines, and model evaluation frameworks.
  • Mentor colleagues on AI/ML concepts, tools, and development practices; create documentation and training materials.
  • Participate in code reviews, architecture discussions, and Agile development ceremonies.
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