Ai Frontend Developer Jobs in Kansas (NOW HIRING)

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.

District Overview

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. 

Location

This is a full time in office role available for local KC metro candidates - we are not offering relocation assistance at this time. 

Responsibilities

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

Technologies & Platforms

Programming Languages & Frameworks: C#, Python, Node.js (JavaScript / TypeScript), RESTful APIs

AI Systems & Workflows: LLMs, MCPs, agent-based workflows, Retrieval-Augmented Generation (RAG)

Data & Storage: SQL, relational data modeling, PostgreSQL, 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

Qualifications

Required Qualifications

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

Preferred Qualifications

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 LangFuse 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 DevOps practices and CI/CD pipelines