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About This Role
Division IT Supply Corp & ERP Primary Work Location Menomonee Falls, WI Job type Regular Time type Full time Job Post From 2026-10-08
Job Details
Job Description
Job Description:
**Applicants must be authorized to work in the US; sponsorship is not available for this position
** This position is Hybrid onsite( NOT REMOTE)
WE CREATE EMPOWERED LEADERS!
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success, so we give you unlimited access to everything you need to provide technical solutions on our IT Team.
Our IT team is responsible for supporting our continued growth by partnering with each function to align the IT strategy and identify solutions, automating business processes, developing custom software solutions, providing and governing access to data, evaluating and implementing purchased software solutions, enabling advanced technologies like AI and ML, and managing the infrastructure and security these solutions require across the enterprise. We work to solve business challenges and drive efficiency through technology.
Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.
Your Role on Our Team
The Agentic Automation Engineer is a multi-platform AI role at the Software Engineer I level. You will work with business-aligned teams, Product Owners, Architects, and senior Engineers to build and support AI agents and automations across more than one technology stack. Oracle knowledge is required; experience with Microsoft or other AI platforms is a nice to have.
Agentic AI is still a new discipline, so we do not expect you to arrive as an expert. You will learn multiple AI platforms hands-on by working with business-aligned teams and serving as a support escalation point for our production agents and automations, with ample opportunity to grow the depth of your expertise over time.
You’ll be DISRUPTIVE through these duties and responsibilities
- Design, build, test, and deploy AI agents and automations, starting with Oracle AI Agent Studio for Fusion Applications and expanding to Microsoft and other AI platforms as you grow.
- Partner with business-aligned delivery teams to understand their software development processes, identify tasks that are good candidates for agentic automation, and turn requirements into working solutions.
- Connect agents to enterprise systems and data using REST APIs, Oracle Integration Cloud, and platform connectors, following secure authentication and access practices.
- Serve as a support escalation point for AI agents and automations in production: troubleshoot issues, identify root causes, and put fixes in place with guidance from senior engineers.
- Write and refine prompts, agent instructions, and tool definitions, and use testing and evaluations to improve the accuracy and reliability of agent responses.
- Monitor agent performance, usage, and the value each solution delivers, and recommend improvements based on what you learn.
- Follow responsible AI, security, and governance standards, including human approval steps, auditability, and data protection.
- Document solutions, support procedures, and reusable patterns so other teams can adopt them.
- Participate in agile ceremonies, code reviews, and knowledge-sharing sessions, and stay current on emerging agentic AI capabilities across platforms.
- Other duties and responsibilities as assigned.
The TOOLS you’ll bring with you
- Bachelor's Degree in Computer Science, Information Systems, or another technical field, or equivalent relevant experience.
- 1–3 years of experience in software development, automation, agentic development or an IT-related position; internships, co-ops, and substantial academic or personal projects count.
- Working knowledge of the Oracle technology stack, gained through work, internships, coursework, or certifications, such as Oracle Fusion Cloud Applications, Oracle Integration Cloud, or Oracle Cloud Infrastructure (OCI)
- Foundational understanding of generative AI and agentic concepts, including large language models, prompt design, retrieval and grounding, and tool or function calling.
- Programming or scripting experience in at least one language, such as Python, SQL, or JavaScript/TypeScript
- Understanding of REST APIs, JSON, and common authentication methods such as OAuth 2.0.
- Strong analytical and problem-solving skills, with the curiosity to learn new platforms quickly.
- Familiarity with agent interoperability standards, such as Model Context Protocol (MCP) and Agent-to-Agent (A2A).
- Oracle or Microsoft AI certifications, for example Oracle AI Agent Studio for Fusion Applications Foundations Associate.
- Strong professional, written, and verbal communication skills, and comfort working directly with business partners.
How you'll grow in this role
- Start on the Oracle platform: learn how our business-aligned teams use Oracle Fusion Cloud Applications and build your first agents alongside senior engineers.
- Expand across platforms by contributing to Microsoft and other AI solutions as needs evolve.
- Sharpen your troubleshooting and critical thinking skills through support escalation for the agents and automations we run in production.
- Deepen your expertise in the platforms and business processes critical to Milwaukee Tool, with room to grow along our Software Engineering career path.
We provide these great perks and benefits:
- Robust health, dental and vision insurance plans
- Generous 401 (K) savings plan
- Education assistance
- On-site wellness, fitness center, food, and coffee service · And many more, check out our benefits site HERE.
Milwaukee Tool is an equal opportunity employer.
Categories
Milwaukee Tool
About Us
Milwaukee Tool, founded in 1924, is a global leader in delivering innovative solutions to the professional construction trades that increase productivity and safety. Milwaukee® is known for their world-leading M12™, M18™, and MX FUEL™ cordless systems, the ground-breaking performance of their cordless innovations, safety solutions, battery-powered outdoor power equipment, jobsite lighting and clean-up, time-saving accessories, and innovative hand tool and PACKOUT™ Modular Storage Products. The company is dedicated to delivering a steady stream of advanced, trade-specific solutions.
Milwaukee Tool is a Brookfield, Wisconsin-based subsidiary of Techtronic Industries Co. Ltd. (TTI) (HKEx stock code: 669, ADR symbol: TTNDY). For more information on the full line of Milwaukee® products, please call 1-800-SAWDUST or visit Milwaukee Tool.
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 9,079 AI roles we're tracking, AI Software Engineer positions make up 5% of the market. At Team TTI, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $220,000 based on 1,601 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Team TTI AI Hiring
Team TTI has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Menomonee Falls, WI, US.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 median).
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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