Senior Software Engineer

Tier4Group; Milwaukee (WI); Hybrid; USD 90,000 - 152,000; Full time

Benefits offered by this job

Competitive Rates

Benefits

Free daily lunch

Job summary

Tier4 Group is seeking a Senior Software Engineer in Milwaukee, WI, for a hybrid role with three days onsite weekly. The AI PDLC Engineer will shape how teams build with AI, designing, building, and rolling out standardized AI agents, guardrails, and engineering practices to speed delivery while maintaining quality.

You will work across platform engineering and AI enablement to create trusted, reusable, enterprise-grade solutions developers can adopt with confidence.

Qualifications

• Bachelor's Degree in Software Engineering or related field.
• 3+ years of software development with Python, Java, or JavaScript/Node.
• Hands-on experience with AI-assisted development and LLM-based agents.
• Familiarity with AI guardrails, input/output validation, and policy enforcement.
• Experience with CI/CD pipelines and DevOps practices.
• Understanding of SDLC and agile methodologies.

Responsibilities

• Build, test, and maintain standardized AI agents, skills, and reusable workflows for software developers across the enterprise.
• Design and implement AI guardrails enforced in code and pipelines with automated checks.
• Define and automate verification standards for code reviews, tests, and agent output evaluation.
• Version-control agents, prompts, and skills as code aligned with enterprise standards.
• Collaborate with security, architecture, and risk stakeholders for governance.

Skills

Python

Java

JavaScript/Node

CI/CD pipelines

DevOps

Agile methodologies

AI-assisted development tools

Education

Bachelor's Degree in Software Engineering or related field

Tools

LLM-based agents

Job description

Title: Senior Software Engineer

Location: Milwaukee, WI

Type: Hybrid (3 days onsite per week)

Duration: 11/02/2026 - 12/31/2026 + extension

Perks: Competitive Rates, Benefits, free daily lunch when onsite

Job Description

About the role: As an AI PDLC Engineer, you will help shape how software engineers across the enterprise build with AI. You'll design, build, and roll out standardized AI agents, guardrails, and engineering practices that make AI-assisted development faster, safer, and more consistent. Your work will reach development teams company-wide. Our goal is for AI to improve both delivery speed and quality, not one at the expense of the other.

This role sits where platform engineering meets AI enablement. You will turn emerging AI capabilities into trusted, reusable, enterprise-grade solutions that developers can adopt with confidence.

Primary Duties & Responsibilities

• Build, test, and maintain standardized AI agents, skills, and reusable workflows for software developers across the enterprise.
• Design and implement AI guardrails that are enforced in code and pipelines, not just documented, including automated quality, security, and policy checks for AI-assisted development.
• Bring rigor to AI-assisted delivery by defining and automating verification standards, such as code review checks, test quality, and evaluation of agent output.
• Version-control agents, prompts, and skills like any other code, and keep them aligned with enterprise engineering standards.
• Partner with security, architecture, and risk stakeholders so AI solutions meet governance expectations before enterprise rollout.
• Support adoption by writing clear documentation, enabling developer teams, and collecting feedback to improve usability and outcomes.
• Collaborate within a hybrid team by taking part in scrum ceremonies and giving constructive feedback in code merge reviews.
• Take ownership of backlog items and contribute to git repositories to move initiatives forward and deliver high-quality features.

Qualifications

• Bachelor's Degree in Software Engineering or related field, or equivalent experience.
• 3+ years of experience developing in one or more of the following programming languages: Python, Java, JavaScript / Node
• Hands-on experience with AI-assisted development tools, LLM-based agents, or agentic workflows.
• Familiarity with AI guardrail and evaluation concepts, such as input/output validation, policy enforcement, and measuring the quality of agent output.
• Experience with major testing frameworks and writing automated unit and integration tests.
• Experience building software and deploying it through CI/CD pipelines.
• Understanding of the Software Development Life Cycle (SDLC) and DevOps principles.
• Experience with agile methodologies and working within a scrum team.
• Ability to communicate proactively and manage expectations with stakeholders such as digital product, software architecture, security, and others.