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Prompt Engineer Jobs in Michigan (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 ...

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 ...

... 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 ...

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 ...

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

Principal Software Engineer

Auburn Hills, MI · On-site

$127K - $171K/yr

In addition, this role helps evaluate, design, and implement AI-assisted engineering capabilities, including internal developer tools, agentic workflows, orchestration patterns, prompt and tool ...

Principal Software Engineer

Detroit, MI · On-site

$133K - $179K/yr

In addition, this role helps evaluate, design, and implement AI-assisted engineering capabilities, including internal developer tools, agentic workflows, orchestration patterns, prompt and tool ...

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 Michigan salary details

$8

$41

$76

How much do prompt engineer jobs pay per hour?

As of Jul 22, 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.
AI/ML Engineer

AI/ML Engineer

cyberThink, Inc.

Ann Arbor, MI • On-site

Other

Posted 15 days ago


Job description

Job Description:

Mid-Level AI Engineer / AI Developer

Position Summary:

We are seeking a Mid-Level AI Engineer to design, develop, and deploy AI-powered applications and services. This role will work closely with software engineers, product managers, architects, and data teams to build scalable AI solutions using modern machine learning, generative AI, agent frameworks, and enterprise software engineering practices.

The ideal candidate combines strong software development skills with hands-on experience building, integrating, and operating AI solutions in production environments.

Key Responsibilities:

  • Design, develop, test, and deploy AI-enabled applications and services.
  • Build and integrate Generative AI solutions using large language models (LLMs).
  • Develop AI agents, workflows, prompts, tools, and orchestration frameworks.
  • Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions.
  • Build APIs, microservices, and backend services supporting AI workloads.
  • Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency.
  • Develop automated testing, monitoring, and observability for AI applications.
  • Collaborate with product owners and business stakeholders to translate requirements into technical solutions.
  • Implement responsible AI, security, privacy, and governance controls within AI solutions.
  • Contribute to architectural decisions, coding standards, and engineering best practices.
  • Support AI applications in production and participate in troubleshooting and incident resolution.

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
  • 3 6 years of software development experience.
  • 2+ years of experience building AI/ML or Generative AI applications.
  • Strong programming skills in one or more of:

o Python

o Java

o C#

o TypeScript/JavaScript

  • Experience developing REST APIs and distributed services.
  • Experience working with cloud platforms such as:

o Azure

o AWS

o Google Cloud Platform

  • Strong understanding of software engineering fundamentals:

o Design patterns

o Testing

o CI/CD

o Security

o Observability

Preferred Qualifications:

  • Experience with LLM platforms such as:

o OpenAI

o Anthropic Claude

o Azure OpenAI

o Gemini

  • Experience building:

o AI agents

o MCP-based integrations

o Tool calling frameworks

o Multi-agent workflows

  • Experience with RAG architectures and vector databases.
  • Familiarity with prompt engineering and evaluation frameworks.
  • Experience with containerization and orchestration:

o Docker

o Kubernetes

o Cloud Run

  • Experience working in Agile development environments.

Technical Skills:

AI / Machine Learning:

  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Embeddings and Vector Search
  • AI Agent Frameworks
  • Model Evaluation and Benchmarking

Software Engineering:

  • Object-Oriented Design
  • API Design
  • Microservices
  • Event-Driven Architecture
  • Automated Testing
  • CI/CD Pipelines
  • Git and Source Control

Cloud & Infrastructure:

  • Azure, AWS, or Google Cloud Platform
  • Containers and Kubernetes
  • Monitoring and Observability
  • Identity and Access Management
  • Secure Deployment Practices

Success Measures:

  • Delivers production-ready AI features with high quality and reliability.
  • Improves developer and customer productivity through AI-enabled capabilities.
  • Builds scalable and secure AI services aligned with enterprise governance requirements.
  • Demonstrates ownership from design through deployment and production support.
  • Collaborates effectively across engineering, architecture, product, and business teams.

Typical Projects:

  • AI assistants and copilots
  • MCP servers and AI integrations
  • Knowledge search and RAG platforms
  • Agentic workflows and automation
  • Document intelligence solutions
  • AI-powered developer productivity tools
  • Conversational client experiences

This description is suitable for an Engineer III / Senior Associate level AI Developer someone who can independently deliver AI features while still working under technical guidance from senior engineers and architects