AI/Automation Engineer

Kforce Inc; Hopkins (MN); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Health Savings Account

Flexible Spending Account

401(k)

Life Insurance

Disability Insurance

AD&D Insurance

Paid Time Off

Paid Sick Leave

Job summary

Kforce Inc. is seeking an experienced software engineer to design, build, and operate production AI agents, applications, and platform capabilities, taking complex solutions from technical design through deployment and ownership.

You will establish reusable engineering practices to help teams build AI systems safely and reliably, while balancing innovation with security, maintainability, and measurable outcomes across cloud-native environments.

Qualifications

• 5+ years of professional software engineering experience.
• Production system ownership with cloud-native development.
• Strong backend language experience and ability to deliver independently.

Responsibilities

• Design, build, and operate production AI agents, applications, and platform capabilities from design to deployment.
• Establish reusable engineering practices to help teams build AI systems safely and reliably.
• Balance innovation with security, maintainability, and measurable outcomes.

Skills

Python

Go

TypeScript

Cloud-Native

Terraform

Docker

Kubernetes

CI/CD

LLMs

AI Architectures

API Design

Distributed Systems

Observability

Tools

AWS

Azure

Google Cloud Platform

Terraform

Docker

Kubernetes

Job description

Design, build, and operate production AI agents, applications, and platform capabilities, taking complex solutions from technical design through deployment. Establish reusable engineering practices that help teams build AI systems safely and reliably, while balancing innovation with security, maintainability, and measurable outcomes.

Requirements

Requires at least five years of professional software engineering experience, production system ownership, and strong skills in a backend language and cloud-native development. Candidates should have hands‑on experience with infrastructure as code, containers, CI/CD, orchestration, observability, and LLM-based applications, along with the ability to independently deliver solutions and communicate technical tradeoffs.

Key Skills

• Python
• Go
• TypeScript
• Cloud-Native Application Development
• AWS
• Azure
• Google Cloud Platform
• Terraform
• Docker
• Kubernetes
• CI/CD
• Large Language Models
• AI Agent Architectures
• API Design
• Distributed Systems
• Observability

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Health Savings Account
• Flexible Spending Account
• 401(k)
• Life Insurance
• Disability Insurance
• Accidental Death and Dismemberment Insurance
• Paid Time Off
• Paid Sick Leave