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Greenhouse Engineer Jobs in Michigan (NOW HIRING)

Mastronardi Produce Limited

AI Engineer

Livonia, MI · On-site

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now ... The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ...

Sunset Grown

AI Engineer

Livonia, MI · On-site

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now ... The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ...

Sunset Grown

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now ... This is a hands-on individual contributor role: the Automation Engineer writes code and scripts ...

Mastronardi Produce Limited

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now ... This is a hands-on individual contributor role: the Automation Engineer writes code and scripts ...

Mastronardi Produce

Cloud DevOps Engineer

Livonia, MI · On-site

$110 - $140/hr

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now ... This is a hands-on individual contributor role: the Automation Engineer writes code and scripts ...

New

TRC Companies, Inc.

... greenhouse gas emissions while improving building health and safety. TRC is seeking a qualified ... Perform engineering reviews, including review and validation of calculations and assumptions used ...

New

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All JobsGreenhouse Engineer JobsGreenhouse Engineer Jobs in Michigan

Greenhouse Engineer information

See Michigan salary details

$10

$17

$33

How much do greenhouse engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for greenhouse engineer in Michigan is $17.70, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $17.60 per hour, depending on experience, location, and employer.

What does a greenhouse engineer do?

A Greenhouse Engineer designs, builds, and maintains greenhouse structures and their environmental control systems. Their work involves optimizing conditions such as temperature, humidity, light, and ventilation to promote healthy plant growth and maximize crop yields. They may also integrate advanced technologies like automated irrigation, climate control systems, and renewable energy solutions. Greenhouse Engineers work closely with horticulturists, growers, and construction teams to ensure the facility operates efficiently and sustainably.

What are the key skills and qualifications needed to thrive as a greenhouse engineer?

To thrive as a Greenhouse Engineer, you need expertise in horticulture, environmental control systems, and structural engineering, often supported by a degree in agricultural engineering or a related field. Familiarity with climate control technologies, irrigation systems, and automation tools, as well as relevant certifications, is typically required. Strong problem-solving skills, teamwork, and effective communication set outstanding professionals apart in this field. These skills are crucial for optimizing plant growth, ensuring energy efficiency, and maintaining successful greenhouse operations.

What are some common challenges a greenhouse engineer faces when optimizing environmental controls?

Greenhouse Engineers often encounter the challenge of balancing multiple environmental factors—such as temperature, humidity, and light—to create optimal growing conditions for various crops. This requires integrating advanced control systems and continuously monitoring data to address fluctuations caused by weather changes or equipment malfunctions. Collaboration with horticulturists and maintenance teams is key to troubleshooting and implementing improvements efficiently. Staying updated on new automation technologies and sustainable practices also helps in overcoming these challenges and enhancing productivity.

What is the difference between Greenhouse Engineer vs Greenhouse Technician?

AspectGreenhouse EngineerGreenhouse Technician
Required CredentialsBachelor's degree in horticulture, engineering, or related fieldAssociate's degree or certification in horticulture or greenhouse operations
Work EnvironmentDesign, plan, and oversee greenhouse systems, often in office and field settingsOperate and maintain greenhouse systems on-site
Employer & Industry UsageUsed by research institutions, large-scale growers, and engineering firmsCommon in commercial nurseries, farms, and greenhouse facilities

Greenhouse Engineers focus on designing and improving greenhouse systems, requiring engineering knowledge and higher education. Greenhouse Technicians handle daily operations, maintenance, and troubleshooting of greenhouse equipment. Both roles are essential in the horticulture industry but differ in responsibilities and qualifications.

What are popular job titles related to Greenhouse Engineer jobs in Michigan?

For Greenhouse Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Greenhouse Engineer jobs in Michigan look for?

The top searched job categories for Greenhouse Engineer jobs in Michigan are:

What cities in Michigan are hiring for Greenhouse Engineer jobs?

Cities in Michigan with the most Greenhouse Engineer job openings:

Greenhouse Engineer jobs near you
Infographic showing various Greenhouse Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $36,821 per year, or $17.7 per hour.

AI Engineer

Mastronardi Produce Limited

Livonia, MI • On-site

Full-time

Re-posted 17 hours ago

Mastronardi Produce rating

6.9

Company rating: 6.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

34th of 65 rated farming

Job description

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now the leading greenhouse vegetable company on the continent. Our award-winning, flavorful produce is packed under the SUNSET® brand and is available at leading grocery retailers across North America. Family owned for over 70 years, we pride ourselves on having the most flavorful products and the best people in the industry. We are constantly pushing boundaries to be a leader in fresh produce innovation. We seek individuals that demonstrate our PRIDE values (Passion, Respect, Innovation, Drive, Excellence) to help us fulfill our mission to inspire healthy living through WOW flavor experiences.
Our corporate office in Livonia Michigan is currently seeking an AI Engineer to join our team. The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and integrations that extend Mastronardi's AI Enablement platform across the business. The role focuses on turning AI capabilities - large language models, retrieval, and agentic workflows - into production-ready tools that are reliable, governed, and embedded directly into business systems and processes. This is a hands-on individual contributor role: the AI Engineer writes code, builds integrations, and ships working solutions directly, with accountability for the technical architecture, performance, and security of every solution deployed.
Values:
To perform the job successfully, the incumbent's behavior must be consistent with the PRIDE values expected of all Mastronardi Produce employees: be Passionate; have Respect; be Innovative; be Driven and strive for Excellence.
Primary Responsibilities:
  • Design, build, and deploy AI-powered applications and integrations that connect large language models (e.g., Claude, Azure OpenAI) to business systems and data sources.
  • Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data.
  • Develop and refine prompts, system instructions, and evaluation frameworks to ensure AI outputs are accurate, consistent, and auditable.
  • Build the initial APIs, connectors, and integration logic between AI platforms and enterprise systems (ERP, WMS, data platforms, Microsoft 365) as part of solution design, handing off production deployment and ongoing operation to Cloud Operations & Infrastructure.
  • Define the guardrails, audit points, and monitoring requirements AI solutions need so outputs can be reviewed, debugged, and improved after deployment, partnering with Cloud Operations & Infrastructure on the monitoring infrastructure that implements them.
  • Test AI solutions rigorously before release, including functional testing, edge-case validation, and structured evaluation against real business scenarios.
  • Partner with the Data Engineering and Data Governance teams to ensure AI solutions use well-structured, quality data and comply with security and privacy requirements.
  • Stay current on the AI tooling landscape (models, frameworks, agent platforms) and recommend where new capabilities apply to real business problems.
  • Build reusable components, templates, and internal libraries that speed up delivery of future AI solutions.
  • Create and maintain clear technical documentation for all solutions, architectures, and operating procedures.
  • Ensure all solutions align with IT governance, security, and compliance standards.
  • Design and maintain evaluation suites and benchmarks to track model and prompt performance over time, catching regressions before they reach production.
  • Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs. direct API integration), weighing cost, performance, and reliability tradeoffs.
  • Support incident response for AI-related production issues and participate in post-incident reviews to identify root cause and prevent recurrence.

Education/Background Requirements:
  • At least 5 years experience in AI Engineering
  • Diploma/Degree in related discipline
  • Software development experience in Python (required) and at least one other language (e.g., JavaScript/TypeScript, C#, or similar).
  • Hands-on experience building applications with large language models - prompt engineering, RAG, tool/function calling, and agentic workflows.
  • Experience with LLM platforms and APIs such as Claude (Anthropic), Azure OpenAI, or equivalent.
  • Experience building and consuming REST APIs and integrating disparate systems.

Specific Knowledge, Skills and Abilities Required
  • Working knowledge of vector databases, embeddings, and retrieval techniques.
  • SQL: ability to query, join, and filter data across relational databases.
  • Experience with cloud platforms (Microsoft Azure preferred) including AI/ML services such as Azure AI Foundry.
  • Version control and CI/CD practices (Git, automated testing, deployment pipelines).
  • Understanding of AI safety, governance, and evaluation practices - ensuring outputs are auditable and appropriate for business use.
  • Familiarity with ERP or enterprise data structures (Microsoft Dynamics NAV/365, SAP, or equivalent) is an asset.
  • Understanding of responsible AI practices, including bias evaluation and hallucination mitigation, to keep model outputs safe and appropriate for business use.
  • Experience with containerization and deployment tooling (e.g., Docker, Azure App Service or Functions) is an asset.

Working Conditions:
  • Typical office environment.

Please note: Mastronardi Produce has accommodation processes and policies in place and provides accommodation for employees with disabilities. If you require a specific accommodation because of a disability or documented medical need, please contact the Human Resource office so that arrangements can be made for the appropriate accommodation to be put into place.
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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