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Agent Engineer Jobs in Milwaukee, WI (NOW HIRING)

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

We'rehiring engineers to design, ship, andoperatethose systems in production. This role spans the ... Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI) * Docker, Terraform, and AWS ...

Process Engineer

South Milwaukee, WI ยท On-site

$71K - $105K/yr

The Process Engineer is focused on production quality, yield improvements, and product formulations ... agent who is a very strong and strategic leader and who wants to be a vital member of a senior ...

Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI) * Docker, Terraform, and AWS Minimum Qualifications * 2+ years in software engineering or applied AI * Experience working with ...

Senior MLOps Engineer (Remote)

Menomonee Falls, WI ยท On-site

$104K - $144K/yr

About the Role As Senior MLOps Engineer, you will focus on supporting cross-functional teams in ... Experience working with agent based or agentic AI systems, including orchestration of autonomous ...

Experience building agent-based systems, workflow orchestration solutions, or multi-step ... Engineering, or a related field preferred; equivalent professional experience will also be ...

Data Engineer

Racine, WI

$107K - $128K/yr

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Kenosha, WI ยท On-site

$113K - $136K/yr

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Milwaukee, WI

$112K - $135K/yr

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Kenosha, WI

$113K - $136K/yr

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Showing results 21-40

Agent Engineer information

See Milwaukee, WI salary details

$5

$16

$24

How much do agent engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for agent engineer in Milwaukee, WI is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.94 per hour, depending on experience, location, and employer.

What does an agent engineer do?

An agent engineer designs, develops, and maintains software agents or systems that automate tasks, monitor environments, or interact with users. They often work with programming languages, automation tools, and may focus on areas like artificial intelligence, cybersecurity, or network management to improve system efficiency and security.

What is the difference between Agent Engineer vs Network Engineer?

AspectAgent EngineerNetwork Engineer
Required CredentialsBachelor's in Computer Science or related, certifications like CCNA, CompTIA Network+Bachelor's in Computer Science, Information Technology, or related, certifications like CCNA, CCNP
Work EnvironmentDeveloping, testing, and maintaining agent software, often in software development teamsDesigning, implementing, and managing network infrastructure, often in IT or telecom environments
Employer & Industry UsageTech companies, software firms, cloud service providersTelecom, IT services, large enterprises with complex networks

Agent Engineers focus on developing and maintaining software agents that facilitate automation and communication within systems, while Network Engineers design and manage network infrastructure. Both roles require technical certifications and often work in tech-driven environments, but their core responsibilities differ significantly.

Infographic showing various Agent Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $35,138 per year, or $16.9 per hour.

Machine Learning Engineer

Bespoke Labs

Racine, WI โ€ข On-site

Full-time

Re-posted 22 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments โ€” and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience โ€” model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training โ€” SFT, RLHF, PPO, DPO, or reward model training โ€” and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology โ€” held-out sets, benchmark design, avoiding train/eval contamination