Senior AI Software Engineer - Kiewit Infrastructure Engineers

Kiewit; United States; Hybrid; USD 130,000 - 150,000; Full time

Benefits offered by this job

Top-tier medical, dental and vision

Wellness program

Life insurance

Disability

Retirement plans with matching

Generous paid time off

Job summary

Kiewit Infrastructure Engineers is seeking a Senior Software Engineer to help build an enterprise AI platform that enables engineering and business teams to work with company knowledge and complex workflows. This hands-on role spans AI, backend, UI, and Kubernetes workloads.

You’ll own features end-to-end, collaborate with platform and security teams, and drive production delivery from design through release, applying strong software practices and clear communication across teams.

Qualifications

• 5+ years of professional software engineering experience designing, building, and maintaining production applications or services with ownership of features.
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field (or equivalent practical experience).
• Hands-on Kubernetes experience deploying and troubleshooting containerized apps.
• Strong programming in Python or TypeScript; ability to contribute across Python services and TS/React apps.
• Experience integrating LLMs or agent workflows into applications and evaluating behavior.

Responsibilities

• Own features and services through production, design and implement changes across AI, backend, data, and UI components.
• Build and evaluate AI workflows, integrate language models, retrieval, and enterprise tools.
• Collaborate with domain experts to define success metrics and guide prototypes through architecture review and delivery.
• Work with Kubernetes to deploy, troubleshoot, and optimize containerized workloads and shared infrastructure.
• Review code for correctness, security, and reliability; trace changes across components and tests.

Skills

Kubernetes

Python

TypeScript

LLMs integration

API design

Distributed systems

CI/CD

Communication

Education

Bachelor's degree in Computer Science / related field

Tools

Azure AKS

Helm

FastAPI

PostgreSQL

Graph/Vector retrieval

Model Context Protocol (MCP)

Job description

Requisition ID: 182985
Job Level: Senior Level
Home District/Group: Kiewit Infrastructure Engineers
Department: Technology Group
Market: Transportation
Employment Type: Full Time

Position Overview

Kiewit is building an enterprise AI platform that helps engineering and business teams work with company knowledge, use enterprise tools, and complete complex workflows. We are looking for an experienced Senior Software Engineer who has strong development skills, a passion for quality and wants to build engineering solutions that make a measurable difference to our business.

This is a hands-on role spanning AI capabilities, backend services, user interfaces, and Kubernetes workloads. You’ll have a primary area of ownership and contribute across the product, working with the team’s technical lead on architecture and priorities and with platform, security, and data owners on shared systems.

You’ll work directly with engineers and business specialists from early design through production delivery, combining their domain expertise with your software engineering judgment. You’ll build new features, take prototypes into production, and improve the systems people already depend on.

AI development tools are a significant part of how we work. We expect engineers to understand the code they deliver, recognize flaws in generated implementations, and validate that changes meet the intended requirements. Independent judgment, constructive challenge, and responsibility for the result are central to this role.

District Overview

2025 ENR National Contractor Rankings #1 for Transportation and #3 Top 100 design build firms

Kiewit Infrastructure Engineering's Design Build Management team are driving clients to turn to Kiewit during all stages of design‑build projects to manage their multi‑disciplined design teams to improve schedule, control costs, and minimize risk. Our construction‑driven engineers analyze root causes and resolve design issues before they impact schedule and budget. Particularly on large design‑build projects, clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in‑house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and design best practices for all projects that we support.

Our participation leads to safe, cost effective, and innovative designs that achieve client expectations and further Kiewit’s legacy of excellence.

On our team, you’ll have the opportunity to see more, touch more, and do more than you ever imagined. Working hard will not only bring you satisfaction from a job well done, but it will help propel your career forward faster than you might expect. We will train you, develop your skills, and allow you to take on projects that impact millions across North America. With top‑notch health benefits, a wealth‑building 401k plan, and unbeatable growth opportunities, by joining Kiewit, you’re ensuring a lifetime of success.

Location

This position will be based at one of Kiewit’s primary campus locations. Remote opportunities will be considered.

Responsibilities

• Own features and services through production. Clarify requirements and acceptance criteria, design and implement changes across the relevant AI, backend, data, and UI components, and support their operation after release.
• Build and evaluate AI workflows. Integrate language models, retrieval, and enterprise tools. Work with domain experts to define task success and use representative evaluations to assess quality, failure behavior, latency, and cost.
• Help domain experts deliver their ideas. Participate early in design, pair on implementation, and guide prototypes through architecture review, hardening, integration, and delivery. Explain tradeoffs clearly and help contributors develop stronger software practices.
• Work directly with Kubernetes. Deploy, troubleshoot, and improve containerized application workloads, including configuration, networking, storage, resource usage, observability, and rollout and recovery behavior. Coordinate with platform teams on shared infrastructure.
• Review and improve implementation quality. Review human‑written and AI‑generated code for correctness, security, reliability, and maintainability. Trace changes across components, challenge assumptions in the code and its tests, and address underlying causes of defects.
• Protect company data and user access. Build integrations that respect user permissions, preserve data integrity, and handle AI‑driven actions and failures safely, in partnership with security and data owners.
• Strengthen software engineering practices. Improve existing workflows through meaningful automated tests, code review, error handling, CI/CD, documentation, and operational visibility. Keep solutions understandable and proportionate to the problem.
• Make capabilities clear and usable. Carry features through UI integration and documentation, and keep ownership, dependencies, readiness, rollout status, and known limitations visible to the team.

Qualifications

• 5+ years of professional software engineering experience designing, building, and maintaining production applications or services, including independent ownership of substantial features or services from design through deployment and ongoing support.
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical software engineering experience.
• Hands‑on Kubernetes experience deploying, operating, and troubleshooting containerized applications.
• Strong programming and debugging skills, with depth in Python or TypeScript and the ability to contribute across Python services and TypeScript/React web applications.
• The ability to read unfamiliar code, identify consequential defects and architectural weaknesses, and explain why a proposed correction is sound.
• Practical experience integrating large language models (LLMs) or agent workflows into applications, including evaluating their behavior and limitations.
• Experience using AI‑assisted development tools while independently reviewing, debugging, and validating the resulting code.
• Solid software engineering fundamentals across API design, data modeling, distributed systems, authentication and authorization, testing, version control, and CI/CD.
• Experience moving prototypes into maintained production systems, with attention to security, failure handling, performance, and operability.
• Clear communication and the ability to support contributors with different technical backgrounds. You should be comfortable questioning assumptions, offering a better approach, and adjusting your position when the evidence changes.

Preferred Qualifications

• Experience with Azure and Azure Kubernetes Service (AKS), Helm, FastAPI, PostgreSQL, graph or vector retrieval, Model Context Protocol (MCP), and enterprise integrations would be especially relevant. We value depth in relevant areas and the ability to learn across the stack; familiarity with every technology in this section is not expected.

What Success Looks Like

You independently deliver and support useful capabilities in your area of ownership, demonstrate their quality through software tests and AI evaluations, reduce recurring failures, and help other contributors become more effective. The result is a product the team can confidently understand, operate, and extend, with reusable practices that support additional use cases.

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.

Base Compensation: $130,000/yr - $150,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

This posting will be active from: 11/03/2026 - 02/01/2027

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.