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Ai Prompt Engineer Jobs in Michigan (NOW HIRING)

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... Experience with prompt engineering and function calling in LLMs * Experience integrating APIs and ...

Tech Tammina LLC

AI Engineer

Okemos, MI · On-site

Job Title: AI Engineer / Applied AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week ... Experience with prompt engineering and function calling in LLMs * Experience integrating APIs and ...

SwiftCruit

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

Evaluate model performance, prompt behavior, grounding quality, and workflow effectiveness using structured testing, human feedback, and measurable business outcomes. * Implement responsible AI ...

New

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models ... Prompt pipelines * Agent-based architectures * Retrieval-Augmented Generation (RAG) systems

New

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability & monitoring * Responsible AI & safety practices Skills & Experience Required: * Bachelor's degree in ...

Kla

AI Software Engineer|Manufacturing

Ann Arbor, MI

$111K - $188K/yr

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability ... Ensure responsible AI practices, including privacy, security, and bias mitigation * Rapidly ...

Beacon Specialized Living

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt ... AI services using scalable cloud-native architecture (APIs, containers, CI/CD). • Optimize ...

Stellantis

Principal AI Engineer

Auburn Hills, MI

We are seeking a Principal AI Engineer with deep, hands‑on experience in Large Language Models ... Prompt pipelines * Agent‑based architectures * Retrieval‑Augmented Generation (RAG) systems

New

Mastronardi Produce Limited

AI Engineer

Livonia, MI · On-site

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... Design and maintain evaluation suites and benchmarks to track model and prompt performance ...

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Ai Prompt Engineer information

See Michigan salary details

$22

$46

$66

How much do ai prompt engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai prompt engineer in Michigan is $46.74, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $54.28 per hour, depending on experience, location, and employer.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn how to craft effective prompts through practice and understanding of model behavior. Relevant certifications or courses in AI and data science can also enhance your qualifications.

Is AI prompt engineer still in demand?

AI prompt engineers are currently in high demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with demand expected to grow as AI adoption expands across industries.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Compensation may also include benefits such as bonuses and stock options.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

What are the most commonly searched types of Ai Prompt Engineer jobs in Michigan? The most popular types of Ai Prompt Engineer jobs in Michigan are:
What are popular job titles related to Ai Prompt Engineer jobs in Michigan? For Ai Prompt Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Engineer jobs in Michigan look for? The top searched job categories for Ai Prompt Engineer jobs in Michigan are:
What cities in Michigan are hiring for Ai Prompt Engineer jobs? Cities in Michigan with the most Ai Prompt Engineer job openings:
Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Michigan as of July 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 100% In-person job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

Electrical and Electronics Architecture Tools Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 11 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The Electrical and Electronics and Architecture Tools Engineer is responsible to transform and converge digital tools, such as Siemens Capital Logic and Interface Control Document, used in the EE Architecture Design process. In addition, this engineer would establish and execute proof of concepts for additional EEAD design tools, such as Siemens Capital E/E Systems module, and make recommendations. Superset architecture inside the PLM environment, managing the topology and physical/functional allocation inside the PLM tool. They will collaborate with ICT, tools suppliers, Domain/Application Architects and Architecture Leads to properly capture the superset and application architecture in Siemens Capital environment and other stakeholders. Work with EE Harness Design, to ensure that physical electrical sub-system requirements allocation are properly assigned to the Interface Control Document (ICD) and the Siemens Capital Logic Environment
Responsibilities:
  • Create and maintain Architecture process documentation, user guides and training materials for EEAD design and schematic tools and ensure correct allocation of infrastructure requirements to the architecture components/elements
  • Collaborate with Domain Architects and Architecture Leads in defining Physical & Functional Partitioning and Allocation of features and functions in order to meet systems/subsystem design requirements, and seamless date flow into EE Harness Design tool chain (Siemens Capital Integrator)
  • Leverage large EEAD datasets and creatively investigate opportunities to improve engineering efficiency with Stellantis Artificial Intelligence platforms/development teams. Apply familiarity with AI, machine learning, automation, and prompt-based productivity tools to identify high-value use cases that transform the EE Architecture Design team toward broader, more effective adoption of AI-enabled workflows.
  • Partner with EE Architecture stakeholders, ICT, and AI platform teams to pilot AI-assisted methods for architecture analysis, requirements allocation, schematic/toolchain data quality checks, documentation generation, knowledge retrieval, and repeatable engineering process automation.
  • Collaborate with tool suppliers, ICT, Domain/Subsystem/Application Architects and EE Harness Design teams in driving a standardized process for the Subsystem electrical schematics and support the development of any bridge solutions between toolchains/data sources.
  • Create and support reference mechanizations / schematics for subsystem domains when needed
  • Relentlessly drive to early life cycle delivery through an agile approach.
  • Willing to take action and drive results.

Basic Qualifications:
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering or related field.
  • A minimum of 5 years of industry experience in EE Architecture design, Electrical Engineering architecture roles or System/Subsystem designs.
  • Knowledge / Experience in Siemens Captial Logic/Interface Control Document/ Harness Integrator
  • Knowledge / Experience in Network Communication Design: CAN, CAN-FD, LIN and Ethernet protocols.
  • Familiarity with AI-enabled engineering productivity tools, including practical use of generative AI, prompt engineering, data analytics, automation, or machine learning concepts to improve design processes, documentation quality, and engineering decision support.
  • Knowledge / Experience in wire harness systems design including power distribution.
  • Understanding of typical vehicle EE architectures and end to end automotive development processes.
  • Strong systems thinker.
  • Fluency in English is required; any other European language is an advantage.

Preferred Qualifications:
  • Master or PHD in Computer Engineering, Computer Science, or Electrical Engineering.
  • Designed EE platforms or components for Service Oriented Architectures (SOA).
  • Track record experience with the automotive system and harness design tools and requirements management.
  • 8 years of experience in EE Systems or EE Architecture R&D.
  • Exhibits excellent, clear, and detail-oriented written and verbal communications on highly complex topics.
  • Demonstrated ability to lead or influence digital transformation initiatives involving AI, automation, data-driven engineering methods, or adoption of new productivity tools across cross-functional engineering teams.

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