Sr AI Engineer

Kiewit; Lone Tree (CO); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental & Vision

Retirement plan with matching

Paid time off

Job summary

Kiewit is seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform powering intelligent applications across the organization. The role focuses on scalable backend AI services, reusable AI capabilities, and platform APIs for application teams.

The ideal candidate has 5+ years of software engineering experience, 2+ years building production AI services, and strong experience with MCP, RAG, and Azure-based AI stacks.

Qualifications

• Bachelor's degree in CS, Engineering, or equivalent experience.
• 5+ years of professional software engineering experience.
• 2+ years building production AI services, AI platforms, or reusable AI infrastructure.
• Experience building scalable backend APIs and distributed services.
• Experience with LLM integrations, MCP, AI workflows, and RAG.

Responsibilities

• Design, develop, and deploy reusable AI platform services and backend APIs.
• Build scalable backend services that orchestrate enterprise AI capabilities.
• Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other providers.
• Mentor junior engineers and collaborate with architects and product managers.

Skills

C#

Python

Node.js

RESTful APIs

SQL

LLM integrations

Cloud-native

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Job description

Requisition ID: 181457

Job Level: Senior Level

Home District/Group: DHO Information Technology Group

Department: Technology Group

Market: Corporate Home Office

Employment Type: Full Time

Position Overview

Kiewit is seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform that powers intelligent applications across the organization. This role focuses on building scalable, secure backend AI services, reusable AI capabilities, and platform APIs that application development teams integrate into their solutions. The ideal candidate has experience building cloud-native backend services and production AI systems using technologies such as Model Context Protocol (MCP), agent-based workflows, Retrieval-Augmented Generation (RAG), and enterprise LLM platforms. This engineer independently delivers complex platform capabilities, mentors junior engineers, and collaborates with architects, product managers, and application development teams.

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 located in LaVista, NE or Lenexa, KS.

Responsibilities

• Design, develop, and deploy reusable AI platform services and backend APIs.
• Build scalable backend services that orchestrate enterprise AI capabilities.
• Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers.
• Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows.
• Integrate AI platform services with enterprise data platforms and cloud infrastructure.
• Implement observability, monitoring, logging, and troubleshooting for AI services.
• Optimize platform performance, scalability, reliability, and cost.
• Mentor junior engineers through code reviews and technical guidance.
• Collaborate with architects and application teams on solution implementation.
• Ensure solutions meet security, compliance, and governance standards.

Technologies & Platforms

• Languages: C#, Python, Node.js (JavaScript/TypeScript), RESTful APIs
• AI: Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, MCP, agent workflows, RAG
• Cloud: Azure Container Apps, Azure Functions, Docker
• Data: SQL, PostgreSQL, Azure SQL
• Tooling: LangFuse, Cursor IDE, Git

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• 5+ years of professional software engineering experience
• 2+ years building production AI services, AI platforms, or reusable AI infrastructure
• Experience building scalable backend APIs and distributed services
• Experience with LLM integrations, MCP, AI workflows, and RAG
• Experience with Docker and cloud-native container platforms
• Experience building and deploying cloud-native applications
• Strong SQL and relational database design skills
• Experience mentoring engineers and delivering complex production software

Preferred Qualifications

• Experience with Azure AI Foundry, Anthropic Claude SDK, or Azure OpenAI
• Experience building shared AI platforms, SDKs, or platform APIs
• Experience with LangFuse, Prisma or Drizzle, Express or Fastify Familiarity with React and Shadcn UI
• Knowledge of DevOps, CI/CD, and Infrastructure as Code #LI-AK1

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.

Company: Kiewit