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Prompt Engineer Jobs in Michigan (NOW HIRING)

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 ...

GenAI Engineer

Detroit, MI · On-site

$73K - $98K/yr

Experience with Prompt Engineering and Context Engineering. DevOps and Platform Engineering experience. Experience with workflow automation frameworks. Experience with cloud platforms such as AWS ...

Sr AI Engineer

Ada, MI

$115K - $142K/yr

Structured prompt engineering and prompt lifecycle management * Evaluation and LLMOps practices (quality measurement, drift detection, rollback strategies) * Systems thinking and comfort operating AI ...

Sr AI Engineer

Ada, MI · On-site

$115K - $142K/yr

Structured prompt engineering and prompt lifecycle management * Evaluation and LLMOps practices (quality measurement, drift detection, rollback strategies) * Systems thinking and comfort operating AI ...

Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development. * Experience developing dashboards, web ...

Develop AI-driven features; experience with AIGen, prompt engineering, and AI agents is preferred. * Development & Maintenance: Work with technologies such as PHP, MySQL, Vue.js/React, and Node.js to ...

Optimize Copilot performance through prompt engineering and AI interaction monitoring.Customize forms, solutions, and sitemap within Microsoft Dynamics 365.Optimize Copilot performance through prompt ...

Apply structured prompt engineering techniques?chain-of-thought, few-shot examples, tool use, and system prompt design?to build reliable, production-ready LLM-powered features; evaluate and mitigate ...

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Showing results 1-20

Prompt Engineer information

See Michigan salary details

$8

$41

$76

How much do prompt engineer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for prompt engineer in Michigan is $41.04, according to ZipRecruiter salary data. Most workers in this role earn between $31.20 and $53.03 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 are the most commonly searched types of Prompt Engineer jobs in Michigan? The most popular types of Prompt Engineer jobs in Michigan are:
What cities in Michigan are hiring for Prompt Engineer jobs? Cities in Michigan with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Michigan as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $85,364 per year, or $41 per hour.
Agentic AI Engineer

Agentic AI Engineer

Optimal Inc.

Warren, MI • On-site

Full-time

Posted 20 days ago


Job description

Job Title: Agentic AI Engineer

We are seeking a highly skilled Agentic AI Engineer to support advanced R&D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.

The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.

Key Responsibilities

  • Design and develop agentic AI systems using GPT-style and other large language model architectures
  • Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory
  • Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving
  • Build scalable context management frameworks to support dynamic, multi-turn conversations
  • Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation
  • Collaborate with cross-functional R&D teams to integrate agent-based solutions into innovative products and research initiatives
  • Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities
  • Document system designs, experiments, and technical findings

Required Qualifications

  • 3-5 years of industry experience in AI/ML, LLM development, or agent-based systems
  • 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 architectures
  • Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques
  • Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus
  • Strong problem-solving skills and ability to work in research-oriented, collaborative environments

Required Education

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Experience contributing to research publications, open-source projects, or experimental AI platforms