AI Engineer

Position Overview

Kiewit is seeking an AI Engineer to help design, develop, and operate intelligent AI systems that support complex enterprise workflows across the organization. This role focuses on building scalable, reliable, and secure AI-enabled services that integrate with internal platforms, data systems, and user-facing applications. This role is primarily backend-focused, with approximately 70% of time spent on backend systems and services and 30% of time contributing to frontend and user interface work.

The ideal candidate has strong experience delivering backend services in cloud environments and is comfortable working with modern AI architectures, including agent-based systems, workflows, and retrieval-augmented generation (RAG).
The engineer will work closely with product managers and software teams to deliver AI-enabled capabilities into production environments.

Kiewit Technology Group builds solutions to enable and support our company's expansive operations. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team utilizes systems and tools that manage every part of Kiewit's business and the project lifecycle to improve planning and day-to-day execution in the field. We give our people real-time data to make faster, smarter decisions.

This is a full time in office role. This candidate can work from our LaVista, NE or Lenexa, KS office.

• Design, develop, and deploy AI-enabled services and agent-based workflows
• Build and maintain API‑driven backend services supporting AI‑powered applications
• Contribute to frontend components and user interfaces as needed to support AI workflows
• Implement multi‑step AI workflows capable of tool usage, data retrieval, and external system integration
• Integrate AI systems with enterprise data platforms and business systems
• Develop and maintain observability, logging, and monitoring for AI services
• Collaborate with cross‑functional teams to translate business needs into scalable technical solutions
• Ensure solutions meet security, compliance, and governance standards
• Participate in architectural reviews and contribute to platform standards and best practices

• Programming Languages & Frameworks: C#, Python, Node.js (JavaScript / Type Script), RESTful APIs
• AI Systems & Workflows: LLMs, MCPs, agent‑based workflows, Retrieval‑Augmented Generation (RAG)
• Data & Storage: SQL, relational data modeling, Postgre
  
  SQL, Azure SQL
• Cloud & Execution Platforms:
  Azure Container Apps, Docker, containerized services;
  Vercel Sandboxes or similar isolated execution environments
• Workflow Orchestration:
  Azure Functions Durable Task Scheduler, Vercel Workflows, or similar orchestration frameworks
• Developer Tooling:
  Cursor IDE or similar IDEs with agentic coding capabilities, Git‑based workflows

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 3+ years of professional software engineering experience
• Experience building and operating backend APIs and services
• Hands‑on experience with MCPs and AI workflows
• Experience designing and operating containerized services, including Docker and container sandboxing
• Hands‑on experience with Retrieval‑Augmented Generation (RAG) systems
• Proficiency with SQL and relational database design
• Experience developing and deploying cloud‑native applications in production environments

• Experience designing or operating agent‑based AI systems in enterprise environments
• Experience with PostgreSQL
• Prompt engineering experience
• Familiarity with Claude Agent SDK, Anthropic tooling, or similar agent frameworks
• Experience with Lang Fuse or other AI observability and tracing platforms
• Experience using Node.js ORMs such as Prisma or Drizzle
• Experience building APIs with Express, Fastify, or similar Node‑based frameworks
• Experience contributing to frontend and UI development for AI‑enabled applications
• Familiarity with React and modern frontend development practices
• Experience using Shadcn UI or similar component libraries
• Knowledge of Dev Ops practices and CI/CD…