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Prompt Engineer Jobs in Novi, MI (NOW HIRING)

Familiarity with prompt engineering and evaluation frameworks. * Experience with containerization and orchestration: o Docker o Kubernetes o Cloud Run * Experience working in Agile development ...

... prompt orchestration, agentic workflows, and tool integrations. Create scalable APIs and AI ... Strong programming experience in Python, including backend development, API design, automation, and ...

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

They automate and optimize the end-to-end ML and Gen AI model lifecycle using expertise in experimental methodologies, statistics, prompt engineering, and coding for tool building and analysis.

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

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

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability * Implement retrieval-augmented generation (RAG) architectures using internal and external data ...

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability * Implement retrieval-augmented generation (RAG) architectures using internal and external data ...

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability * Implement retrieval-augmented generation (RAG) architectures using internal and external data ...

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Practical experience developing applications using Large Language Models (LLMs), prompt engineering ... and Generative AI technologies. Experience building AI solutions on cloud platforms such as GCP and ...

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

Experience with prompt engineering and function calling in LLMs * Experience integrating APIs and handling structured/unstructured data * Familiarity with Git and development in a collaborative ...

Strong understanding of Generative AI concepts, Prompt Engineering, and Large Language Models (LLMs). * Experience with Azure OpenAI, Azure Cognitive Services, or Microsoft AI SDKs. Equal Opportunity ...

AI Integration & Prompt Engineering: Architect production-ready integrations and custom utilities to embed AI tools (GitHub Copilot, Cursor, QODO) into workflows. Act as the technical lead for prompt ...

Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation) * Experience building or working with agent frameworks, memory systems, or planning/reasoning ...

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Prompt Engineer information

See Novi, MI salary details

$9

$44

$82

How much do prompt engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for prompt engineer in Novi, MI is $44.18, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $57.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Prompt Engineer position, and why are they important?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, specialized skills, and often leadership roles or equity compensation.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with tools like GPT. The role continues to grow alongside advancements in AI technology.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, prompt design, and familiarity with AI tools like GPT are highly valued and can influence compensation.
What cities near Novi, MI are hiring for Prompt Engineer jobs? Cities near Novi, MI with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Novi, MI as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $91,886 per year, or $44.2 per hour.
Software Engineer (3) - Core Engineer 3

Software Engineer (3) - Core Engineer 3

Epitec

Dearborn, MI • On-site

$60/hr

Contractor

Posted 15 days ago


Job description

  • Location: Dearborn, Michigan
  • Type: Contract
  • Job #105341

Position: Front-End Software Engineer
Location: Dearborn, MI
Employment Type: Full-Time W2 Contract
Schedule: 8:00 AM - 5:00 PM EST
Pay: $60.00 per hour
Position Overview
We are seeking a Software Engineer with a strong combination of AI experience and end-to-end CI/CD pipeline expertise to join our engineering enablement team.
In this role, you will help drive AI adoption across engineering teams, support users of modern AI development tools, and design and maintain CI/CD solutions within the GitHub ecosystem. The ideal candidate will bring a blend of software development experience, DevOps knowledge, troubleshooting skills, and a passion for improving developer productivity.
Key Responsibilities
  • Drive AI adoption and enablement across engineering teams.
  • Support and educate users on AI development tools including Microsoft Copilot, GitHub Copilot, Cursor, and QODO.
  • Contribute to AI integration and prompt engineering initiatives.
  • Troubleshoot technical issues and provide user support for engineering tools and platforms.
  • Design, implement, deploy, and maintain CI/CD pipelines.
  • Support modernization efforts, including migration from Jenkins to GitHub Actions.
  • Develop and support engineering solutions using modern software development practices.
  • Contribute to engineering dashboards, reporting, and DevOps metrics initiatives.
  • Collaborate with globally distributed teams across North America, Mexico, and India.

Required Qualifications
  • 5+ years of software engineering experience.
  • Experience with AI tools, AI enablement, or AI integration within software development workflows.
  • Experience with prompt engineering and practical AI applications.
  • Strong experience designing, implementing, and supporting CI/CD pipelines.
  • Solid understanding of DevOps principles and the software delivery lifecycle.
  • Experience troubleshooting technical issues and supporting engineering teams.
  • Strong analytical, problem-solving, and communication skills.

Preferred Technical Skills
  • Java
  • Spring Boot
  • Python
  • GitHub ecosystem
  • GitHub Actions

Nice to Have
  • Experience with DevOps dashboards, engineering metrics, and reporting.
  • Experience working with engineering productivity tools and developer enablement initiatives.

Technical Environment
  • GitHub
  • GitHub Actions
  • Jenkins (current platform)
  • Cloud-based build environments

Successful candidates will demonstrate:
  • Strong troubleshooting and root-cause analysis skills.
  • Practical experience with AI tools and developer productivity solutions.
  • Deep understanding of CI/CD pipeline design and implementation.
  • Ability to balance software development and operational support responsibilities.
  • Strong collaboration skills in a globally distributed team environment.
  • A passion for helping engineering teams improve efficiency and effectiveness.

Candidate Skill Priorities
  1. AI tool adoption and enablement experience (GitHub Copilot, Microsoft Copilot, Cursor, QODO, etc.)
  2. Prompt engineering or AI integration experience
  3. CI/CD pipeline design and implementation
  4. GitHub Actions and GitHub ecosystem experience
  5. Jenkins experience
  6. Java, Spring Boot, or Python background
  7. Strong troubleshooting and support experience

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