Software Engineer 3

Kiewit • Lenexa, KS

1d • Onsite

About The Position

TAG is hiring a Software Engineer to help design and deliver AI-powered enterprise applications across Kiewit’s district portfolio. The role is suited to a developer ready to work beyond implementation and contribute at the systems level by shaping application structure, integrations, and the use of AI to accelerate delivery. The engineer works alongside senior architects and develops architectural skills through hands-on design and mentorship.

The position is based in Lenexa, Kansas, within Kiewit Technology Group (KTG). KTG builds technology solutions for Kiewit’s districts and home-office departments, supporting project schedule and cost certainty, profitability, planning, and field execution through real-time data.

The engineer builds features and district-specific delivery projects spanning front-end experiences, backend APIs, and supporting infrastructure. The role uses modern frameworks and AI-approved development tools and partners with designers, product owners, and engineers to deliver software used by Kiewit teams. Work spans multiple platforms and projects, including PAVE, SPEQ, MUSE, and district delivery projects, with opportunities to contribute to the practices of a growing, greenfield team.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3–5 years of professional software development experience, or equivalent project work.
• Experience with at least one modern web framework, such as React, Angular, or Vue, and one backend language, such as Python or C#/.NET.
• Solid understanding of software engineering fundamentals, including data structures, testing, debugging, and API design.
• Experience with Git-based workflows and CI/CD pipelines.
• Comfort working with AI-approved development tools, such as Claude or GitHub Copilot, as part of a modern engineering workflow.
• Strong analytical thinking and attention to detail.
• Regular, reliable attendance.
• Ability to work productively, meet deadlines, and communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
• Ability to perform work safely and effectively and understand and follow oral and written instructions, including warning signs, equipment use, and other policies.

Nice To Haves

• Experience with Azure services, such as Container Apps, API Management, and Key Vault.
• Familiarity with AI/ML concepts, including prompt engineering, LLM integration, or agent-based workflows.
• Experience with Infrastructure-as-Code, such as Bicep or Terraform, and GitHub Actions.
• Exposure to AI agent frameworks, such as LangChain, AutoGen, Claude tool use, or custom agent pipelines.
• Background in construction technology, industrial systems, or related domains.

Responsibilities

• Help design, build, and optimize AI systems and solutions that advance digital capabilities and create value for districts.
• Build features and district-specific delivery projects, including front-end experiences, backend APIs, and supporting infrastructure.
• Write clean, well-tested, maintainable code and contribute to a shared codebase.
• Participate in code reviews, architecture discussions, and sprint ceremonies.
• Contribute to AI-assisted development workflows using approved tools such as Claude, GitHub Copilot, and custom tooling.
• Debug, troubleshoot, and improve the performance of existing applications.
• Collaborate with product owners and designers to translate requirements into working software.
• Support cross-functional work across PAVE, SPEQ, MUSE, and district delivery projects.
• Help evolve engineering practices, tooling, and documentation as the team grows.
• Work productively, meet deadlines, communicate professionally, follow instructions and safety policies, and organize work within normal operating hours and deadlines.
• Work overtime and weekends as required.

Benefits

• Top-tier medical, dental, and vision plans covering eligible employees and dependents.
• Voluntary wellness and employee assistance programs.
• Life insurance and disability plans.
• Retirement plans with matching.
• Generous paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level