IT Engineer
About The Position
Tempur Sealy is seeking a highly skilled Power Platform & Python / AI Engineer to join their growing organization. This role will be part of a cross‑functional technology team responsible for the design, development, and implementation of enterprise automation, business applications, and intelligent AI‑driven systems that support business operations and digital transformation initiatives. The ideal candidate demonstrates hands‑on experience building Power Apps (especially Canvas Apps), strong proficiency with Power Automate, and deep expertise in Python‑based AI engineering, including LLM orchestration, autonomous agents, RAG architectures, and machine learning workflows. The ideal candidate also brings strong Microsoft full‑stack development experience, with deep expertise in .NET framework, ASP.NET, and C#, enabling seamless integration between enterprise applications, APIs, and AI-driven solutions. This role requires close collaboration with business stakeholders, analysts, and other engineers to deliver scalable, secure, and maintainable applications and AI solutions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience
- Demonstrated hands‑on experience building Power Apps (Canvas Apps) in production environments
- Strong experience with Microsoft Power Platform, including: Power Apps (Canvas Apps), Power Automate (cloud flows, approvals, integrations)
- Strong hands-on experience in Microsoft full-stack development, including: .NET (Core and/or Framework) development, C# programming with deep understanding of OOP principles and design patterns, ASP.NET / ASP.NET Core for building web applications and APIs
- Experience building and consuming RESTful APIs and integrating with enterprise platforms (Power Platform, Salesforce, D365, etc.)
- Strong proficiency in Python, with experience developing production‑grade applications and automation solutions
- Good knowledge of Machine Learning (ML) concepts, including model training, evaluation, and deployment
- Hands‑on experience working with Generative AI, including: Large Language Models (LLMs), Prompt engineering and optimization, Use of generative AI in real‑world business and enterprise use cases
- Experience designing and implementing LLM‑based systems, including: LLM orchestration, Retrieval‑Augmented Generation (RAG), Vector databases and semantic search technologies
- Experience developing autonomous or semi‑autonomous agents that use tools and make multi‑step decisions
- Experience with machine learning frameworks, including TensorFlow
- Strong experience with data pipelines and data processing using Pandas, NumPy, and related libraries
- Experience with DevOps practices, including CI/CD pipelines, deployment automation, and monitoring
- Experience integrating APIs, services, and enterprise data sources
- Experience working with relational databases and writing simple to complex SQL queries
- Familiarity with source control tools such as Git
- Experience working in Agile and/or Scrum environments
- Ability to troubleshoot, debug, and resolve production issues
Nice To Haves
- Strong verbal and written communication skills
- Proven ability to collaborate with business partners and technical teams
- Ability to translate business needs into practical application and automation solutions
- Proficiency in reading and producing technical documentation
- Strong attention to detail, quality, and delivery commitments
- Self‑motivated with strong ownership and accountability
- Excellent analytical and problem‑solving skills
Responsibilities
- Read and understand functional and technical requirements and translate them into scalable Power Platform and AI solutions
- Design, develop, and deliver Power Apps (Canvas Apps, PowerPages) from the ground up, including: User‑friendly interfaces aligned to business processes, Secure data access patterns, Performance‑optimized app design
- Enhance and maintain existing Power Apps by refactoring, extending functionality, and improving usability
- Build, enhance, and support Power Automate flows, including: Business process automation, System and API integrations, Error handling, monitoring, and operational resiliency
- Design, develop, and maintain full‑stack Microsoft solutions using .NET (Core/Framework), ASP.NET, and C#, including: Backend services, APIs, and business logic implementation, Integration layers connecting Power Platform, AI services, and enterprise systems, Scalable, secure, and high‑performance application architecture
- Design and develop advanced Python‑based applications, including: LLM orchestration and prompt‑driven workflows, Autonomous agents capable of using tools and executing multi‑step decision‑making processes, Intelligent services that combine reasoning, planning, and execution
- Design and implement Retrieval‑Augmented Generation (RAG) solutions leveraging: Vector databases, Embedding pipelines and semantic retrieval, Secure and relevant information access
- Apply machine learning techniques using frameworks such as TensorFlow for model training, evaluation, and integration
- Build and support data pipelines using Pandas, NumPy, and related Python libraries
- Apply DevOps practices, including CI/CD, automated deployments, and environment management
- Accurately estimate development effort and timelines and communicate risks proactively
- Participate in architecture discussions, design reviews, and peer code reviews
- Collaborate closely with business analysts, functional analysts, and other development and operations teams
- Provide ongoing production support and continuous improvement for deployed applications and AI solutions
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
