Requisition ID:

 182012

Job Level:

 

Mid Level Home District/Group:

 

DHO Information Technology Group Department:

 

Technology Group Market:

 

Corporate Home Office Employment Type:

 Full Time Position Overview TAG is hiring Software Engineer to help design and deliver AI-powered enterprise applications across Kiewit's district portfolio. This role is ideal for a developer who has outgrown pure implementation and is ready to think at the systems level — shaping how applications are structured, how they integrate, and how AI can be leveraged to accelerate delivery. You'll work alongside senior architects while building your own architectural instincts through hands-on design and mentorship.

District Overview Kiewit Technology Group (KTG) builds solutions to enable and support a $15 billion company. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team deploys technology solutions to the field and home office departments that increase profitability by maximizing the way we use our people and resources in daily operations, KTG uses systems and tools that manage every part of Kiewit's business and lifecycle of a project to improve planning and day-to0day execution in the field by giving our people real-time data to make faster, smarter decisions. When you join KTG, you will make an impact on the critical work we do every day.

Location This is a full time in office role located on our LaVista, NE campus. Responsibilities You'll build features and district-specific delivery projects — from front-end experiences to backend APIs and the infrastructure that supports them. You'll work with modern frameworks and AI-approved development tools, and partner closely with designers, product owners, and other engineers to ship high-quality software that Kiewit teams rely on every day.

• As a Solutions Engineer you will help design, build, and optimize AI-systems and solutions that advance our digital capabilities and create real value for districts
• Write clean, well-tested, maintainable code and contribute to a growing shared codebase
• Participate in code reviews, architecture discussions, and sprint ceremonies
• Contribute to AI-assisted development workflows using AI-approved tools such as Claude, GitHub Copilot, and custom tooling
• Debug, troubleshoot, and improve 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 What Makes This Role Unique
• You will work across multiple high-impact platforms; not siloed to one product
• Our team builds using AI-approved tools as part of our own development workflow (Claude Code, Figma MCP, automated spec-to-code pipelines)
• You'll help shape engineering practices for a fast-growing, greenfield team
• Direct access to architects, tech leads, and leadership — small team, big impact Tech Stack

Frontend:

React + TypeScript (Vite), MSAL.js, TanStack Query

Backend:

Python (FastAPI) or .NET (ASP.NET Core 8+)

Infrastructure:

Azure Container Apps, Bicep, GitHub Actions

AI/ML:

Claude API, Azure AI Foundry, custom agent pipelines — all via AI-approved tooling

Tools:

GitHub Enterprise, Figma, Postman, CloudflareQualifications Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or related field

• 1-3 years of professional software development experience (or equivalent project work)
• Experience with at least one modern web framework (React, Angular, Vue) and one backend language (Python or C#/.NET)
• Solid understanding of software engineering fundamentals: data structures, testing, debugging, and API design
• Experience with Git-based workflows and CI/CD pipelines
• Comfort working with AI-approved development tools (e.g., Claude, GitHub Copilot) as part of a modern engineering workflow
• Strong analytical thinking and attention to detail Preferred Qualifications
• Experience with Azure services (Container Apps, API Management, Key Vault)
• Familiarity with AI/ML concepts: prompt engineering, LLM integration, or agent-based workflows
• Experience with Infrastructure-as-Code (Bicep, Terraform) and GitHub Actions
• Exposure to AI agent frameworks (LangChain, AutoGen, Claude tool use, or custom agent pipelines)
• Background in construction technology, industrial systems, or related domains is a plus

Other Requirements:

Regular, reliable attendance Work productively and meet deadlines timely Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment. Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies. Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required. May work at various different locations and conditions may vary. We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off. Equal Opportunity Employer, including disability and protected veteran status. ​