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Ai Developer Operations Engineer Jobs in Manitowoc, WI

Quality Engineer - MB

Chilton, WI · On-site

$74K - $96K/yr

Bachelor's degree in Engineering, Operations, or related field; OR Associate's degree in Engineering, Operations, or related field plus 4 years relevant experience; OR 8 years relevant experience.

Quality Engineer - MB

Chilton, WI · On-site

$74K - $96K/yr

Bachelor's degree in Engineering, Operations, or related field; OR Associate's degree in Engineering, Operations, or related field plus 4 years relevant experience; OR 8 years relevant experience.

Farm Operations Intern

Plymouth, WI · On-site

$15.25 - $20/hr

I'm Emily, owner of Empathic Engineering based primarily out of Milwaukee, WI. Currently, I'm ... We would perform hands-on farm operations Monday, Tuesday, and Wednesday. This consists of limited ...

Sr. Electrical Project Engineer

Kohler, WI · On-site

$109K - $142K/yr

Provide capacity planning, capital equipment recommendations and implementation partnership with the plant operations engineering teams. * Develop business cases with supporting financial ...

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Showing results 1-20

Ai Developer Operations Engineer information

See Manitowoc, WI salary details

$34.8K

$82.1K

$130.4K

How much do ai developer operations engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai developer operations engineer in Manitowoc, WI is $82,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $90,800.00 per year, depending on experience, location, and employer.

What is the difference between Ai Developer Operations Engineer vs Data Scientist?

AspectAi Developer Operations EngineerData Scientist
Required credentialsBachelor's in CS, Engineering, or related; certifications in cloud or DevOpsBachelor's or higher in Statistics, Math, or CS; often with data analysis certifications
Work environmentDevOps teams, cloud platforms, AI model deploymentData analysis, modeling, research teams
Employer usageTech companies, AI startups, cloud providersResearch institutions, tech firms, finance, healthcare
Search intentAI deployment, operations, automationData analysis, insights, modeling

The Ai Developer Operations Engineer focuses on deploying, maintaining, and automating AI models in production environments, often working closely with DevOps teams. Data Scientists primarily analyze data, build models, and generate insights. While both roles require technical skills, the Operations Engineer emphasizes deployment and system integration, whereas Data Scientists focus on data analysis and modeling.

What cities near Manitowoc, WI are hiring for Ai Developer Operations Engineer jobs?

Cities near Manitowoc, WI with the most Ai Developer Operations Engineer job openings:

Senior Software Engineer - Generative AI

Sheboygan, WI • On-site

Acuity Insurance, Inc
Insurance Services • 1 - 5K employees

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Senior Software Engineer - Generative AI

Job Category: Information Technology

Requisition Number: SENIO003103

  • Posted : May 6, 2026
  • Full-Time
Locations

Headquarters - WI 2800 South Taylor Drive Sheboygan, WI 53081, USA

Acuity is seeking a Senior Software Engineer to design, build, and maintain production‑ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user‑focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise‑aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.

Acuity will include at least one in‑person interview during the hiring process for all positions.

Essential Functions
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.
Education

Bachelor’s degree or equivalent combination of education and experience in software engineering, computer science, or related field.

Experience

A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.

Other Qualifications
  • Expertise across a wide range of tools and technologies, including.
    • Programming languages such as Java, Python, and JavaScript.
    • Relational and non‑relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
    • Familiarity with web UI frameworks such as Vue, React, or Angular.
    • Knowledge of software development workflows, CI/CD pipelines and version control tools.
    • AI and Gen AI technologies including LLMs, Retrieval‑Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
    • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
    • Familiarity with AI Observability tools to monitor and debug AI responses.
    • Understanding API Management, including rate limiting, latency, and token cost optimization.
    • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
  • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
  • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
  • Strong communication skills and ability to work with cross functional teams.
  • Excellence in documentation, testing practices, and operational reliability.
  • Ability to stay current with AI advancements, LLM research, and evolving best practices.
  • Passion for building reliable, safe, and impactful Generative AI systems.

Acuity does not sponsor applicants for U.S. work authorization.

This job is classified as exempt.

The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicant’s education, experience, knowledge, skills, and abilities.

For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.

We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

Acuity will include at least one in‑person interview during the hiring process for all positions.

If you have a disability and require reasonable accommodations to apply or during the interview process, including for in‑person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.

Equal Opportunity Employer. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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