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Temporary 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 ...

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

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

  • Medical

  • Dental

  • Retirement

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

Orbotech

AI Software Engineer|Manufacturing

Ann Arbor, MI

$111K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

KLA Corporation

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Kla

AI Software Engineer|Manufacturing

Ann Arbor, MI

$111K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

KLA Corporation

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

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Temporary Ai Prompt Engineer information

What are the key skills and qualifications needed to thrive as a Temporary AI Prompt Engineer?

To thrive as a Temporary AI Prompt Engineer, you need a strong background in language models, prompt engineering, and data analysis, often supported by experience with AI development or a related degree. Familiarity with tools like OpenAI's GPT platform, prompt optimization frameworks, and version control systems such as Git is typically required. Creativity, problem-solving, and clear written communication are essential soft skills for crafting effective prompts and collaborating with team members. These skills ensure the delivery of high-quality, impactful AI outputs and enable rapid adaptation in a fast-evolving technical environment.

What are some common challenges faced by Temporary AI Prompt Engineers, and how can they effectively address them?

Temporary AI Prompt Engineers often face the challenge of quickly adapting to new AI models and internal tools within a limited timeframe. They must efficiently learn company-specific requirements, collaborate with cross-functional teams, and deliver high-quality prompts under tight deadlines. Success in this role relies on clear communication, proactive problem-solving, and the ability to iterate rapidly based on feedback. Building strong relationships with team members and leveraging available documentation can help temporary engineers transition smoothly and make meaningful contributions during their assignment.

What is the difference between Temporary Ai Prompt Engineer vs Data Scientist?

AspectTemporary Ai Prompt EngineerData Scientist
Required CredentialsOften a degree in computer science, AI, or related fields; familiarity with AI toolsDegree in computer science, statistics, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, freelance projects; project-based rolesResearch institutions, tech firms, corporate analytics teams; ongoing projects
Employer & Industry UsagePrimarily in AI development, content creation, and product testingData analysis, predictive modeling, business insights

While both roles require technical skills and familiarity with data and AI tools, Temporary Ai Prompt Engineers focus on crafting prompts for AI models in short-term projects, whereas Data Scientists analyze data to inform business decisions over longer periods.

What is a Temporary AI Prompt Engineer?

A Temporary AI Prompt Engineer is a professional hired for a short-term contract to design, test, and refine prompts that guide artificial intelligence models, like ChatGPT, to produce accurate and relevant responses. Their main responsibilities include understanding project requirements, crafting effective prompts, analyzing model outputs, and iteratively improving the prompts to achieve desired outcomes. This role is especially important in organizations that need rapid development or scaling of AI tools without long-term staffing commitments. Temporary AI Prompt Engineers often collaborate with data scientists, product managers, and developers to ensure the AI meets business objectives. The position typically requires strong language skills, analytical thinking, and familiarity with AI 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:
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Temporary Ai Prompt Engineer jobs near you

Electrical and Electronics Architecture Tools Engineer

Stellantis

Auburn Hills, MI

Full-time

Re-posted 13 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. 

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