Lead Software Engineer - AI & Agentic Systems

IRC Trane Technologies Company•Tyler, NC

2d•Hybrid

About The Position

As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. This role offers the opportunity to build real enterprise AI solutions while working at the leading edge of how software development is changing. You will apply modern AI coding tools and agentic development practices to real product delivery, not just experimentation. You will help determine what works, where the risks are, how quality should be maintained, and how these practices can scale in an enterprise environment.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or equivalent work experience
7+ years of professional software development experience, including experience in a senior, lead, or highly independent developer role
Strong programming experience in one or more modern application development languages such as TypeScript, JavaScript, Python, C#, or Java
Experience designing, building, testing, deploying, and supporting production software
Experience building backend services, APIs, integrations, or full-stack application features
Experience designing and building cloud-based applications on at least one major cloud platform such as Azure, GCP, or AWS
Experience providing technical leadership through design guidance, code review, mentoring, or establishing engineering standards
Experience applying coding assistants or agentic coding practices in structured software delivery workflows

Nice To Haves

Experience building AI-enabled applications, including agents, tool-calling workflows, orchestration layers, or multi-agent systems
Experience integrating models, tools, data sources, APIs, and user workflows into reliable application experiences
Familiarity with emerging AI patterns such as MCP, A2A, agent frameworks, or context engineering approaches
Experience working across multiple cloud platforms

Responsibilities

Design, build, test, deploy, and support AI-enabled solutions for real enterprise use cases
Translate product needs, business requirements, and technical concepts into working software that delivers measurable value
Design and integrate models, agents, tools, workflows, APIs, enterprise systems, cloud services, and user experiences into reliable AI-enabled applications
Apply emerging AI patterns such as agents, tool-calling, MCP, A2A, agent frameworks, and context engineering where they create practical value
Design cloud-based solutions with attention to scalability, reliability, security, maintainability, and operational support
Move AI capabilities from concept, prototype, or pilot into production-ready solutions
Use coding assistants and agentic coding practices as part of the development and delivery process
Establish and share reusable components, agent capabilities, and engineering patterns that improve the speed, quality, reliability, and consistency of future AI delivery
Provide technical leadership to other developers by guiding design decisions, reviewing implementation approaches, mentoring on best practices, and helping establish engineering standards