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Prompt Engineer Jobs in Rochester Hills, MI (NOW HIRING)

FastTek

Software Engineer

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Practical experience building or integrating Generative AI solutions (e.g., LLM-based applications, RAG pipelines, prompt engineering, embeddings/vector databases). * Familiarity with GenAI ...

Pwc

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

Stellantis

AI Engineer - Supply Chain

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hands-on experience with LLMs, prompt engineering, agent frameworks, or orchestration tools * Understanding of APIs, microservices, and event-driven architectures * Familiarity with supply chain ...

FastTek

Commodity Senior Engineer

Dearborn, MI

$112K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/LLM: AI coding assistants, prompt engineering, LLM APIs, RAG, embeddings, vector databases, agentic workflows * Engineering Practices: Agile, secure coding, API design, observability ...

New

General Motors

AI Agent Engineer

Warren, MI · On-site

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...

General Motors

AI Agent Engineer

Warren, MI · On-site +1

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...

Kuehne + Nagel Inc.

AI Agentic Engineer MS-OS

Detroit, MI · On-site

  • Medical

  • Retirement

Solid understanding of LLMs, including prompt engineering, RAG, model evaluation, and optimization for performance and reliability * Experience working with cloud platforms (AWS, Azure, or GCP ...

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Prompt Engineer information

See Rochester Hills, MI salary details

$9

$43

$80

How much do prompt engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for prompt engineer in Rochester Hills, MI is $43.34, according to ZipRecruiter salary data. Most workers in this role earn between $32.98 and $55.96 per hour, depending on experience, location, and employer.

What is a prompt engineer?

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.

What does a prompt engineer do?

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 skills and qualifications are needed to be a prompt engineer?

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.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What cities near Rochester Hills, MI are hiring for Prompt Engineer jobs?

Cities near Rochester Hills, MI with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $90,149 per year, or $43.3 per hour.

Agentic Engineer II

Nexteer Automotive Corporation

Auburn Hills, MI • On-site

Full-time

Re-posted 25 days ago

Nexteer Automotive rating

6.4

Company rating: 6.4 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

418th of 491 rated machine equipment manufacturers

Job description

Agentic Engineer - Build, Experiment & Ship
About the Role:
Are you fascinated by the power of AI agents to transform how engineering teams work? Do you thrive in a high-velocity environment where you can build, test, and iterate on wild ideas in days rather than months?
We are looking for AI Agentic Development Engineers to join and build a new Applied AI team. In this role, you won't just be maintaining legacy systems, you will be the ultimate accelerator for our cross-functional engineering teams. Your mission is to design, develop, and deploy rapid prototypes of AI-driven tools and agentic workflows that automate complex tasks, eliminate friction, and radically optimize our engineering processes.
We operate on a philosophy of learning fast, failing fast, and delivering faster. If you are a bias-for-action developer who thinks outside the box and measures success by working code and measurable efficiency gains, we want you to be on our team.
This is an individual contributor role and the selected candidate will have the opportunity to work a hybrid schedule.
Key Responsibilities
As an Agentic Engineer II, you will be responsible to:
  • Ideate, architect, and build proof-of-concepts (PoCs) for AI-powered engineering tools, multi-agent systems, and automation scripts.
  • Partner closely with Product Engineering teams to deeply understand their workflows, identify bottlenecks, and embed AI solutions where they matter most.
  • Leverage LLMs, vector databases, and agentic frameworks (e.g., LangChain, CrewAI, AutoGen) to build autonomous workflows capable of reasoning, tool-use, and decision-making.
  • Refine and automate multi-disciplinary engineering pipelines within Product Engineering.
  • Run rapid experiments: hypothesis → prototype → deploy → evaluate → iterate
  • Embrace a fail-fast approach - short cycles, quick learning, and moving on with better information
  • Containerize and self-host solutions - taking full ownership from development through deployment
  • Evaluate tools and models through hands-on use, not benchmarks alone
  • Identify what scales and what doesn't based on real-world deployment behavior
  • Document validated patterns that contribute to the team's shared AI use case library
  • Think in terms of scale: how do I share my work, knowledge, and practices with others so they can join the mission

Qualifications
  • Minimum of 2+ years of experience in the following:
  • AI & Agentic Frameworks: Hands-on experience working with LLMs (OpenAI, Anthropic, open-source models) and orchestration frameworks like LangChain, LlamaIndex, CrewAI, or similar.
  • Programming Mastery: Proficiency in Python, TypeScript, or similar languages optimized for fast development and AI integration.
  • APIs & Integrations: Strong experience connecting disparate systems via REST APIs, webhooks, and SDKs (e.g., integrating AI agents with GitHub, Jira, Slack, or internal engineering tools).
  • Data Foundations: Familiarity with RAG, vector embeddings, vector databases (e.g., Pinecone, Chroma, Milvus), and prompt engineering techniques.
  • Workflow Automation Architecture: n8n, LangGraph, CrewAI, ChromaDB, and Docker.
  • Ability to make complex and analytical decisions and recommendations to management.
  • Strong problem solving/analytical skills, where problems are complex
  • Excellent oral & written communication skills
  • Strong interpersonal skills
  • Conflict resolution & risk escalation skills
  • Excellent leadership skills in a team environment
  • Experience with the product development process
  • Understanding of technical & commercial aspects

Additional Things We're Looking For
  • Navigate ambiguity to make decisions and deliver completed work, maintaining momentum even when conditions are not fully defined.
  • Take initiative to begin work with partial information, iterating and refining requirements as insights evolve.
  • You're naturally curious and self-directed - you build things because you want to understand how they work, not just because it's on a task list.
  • You've containerized, self-hosted, and deployed real projects. You've seen something work perfectly in a local environment and behave differently in production - and that experience has made you a better engineer.
  • The clearest signal: you have something running somewhere that isn't your own machine. You stay current with AI tools by using them, not just reading about them.
  • We're more interested in what you've built than what's on your resume. Share something you've deployed - a repository, a live URL, or a brief walkthrough. Tell us what didn't go as planned and what you took away from it.

Education Requirements
  • Masters degree in Computer Engineering, Computer Science, Electrical Engineering, Artificial Intelligence, Information Technology, Software Engineering, Data Science, Data Analytics, Information Systems, Information Science or Machine Learning required

Nexteer is an Equal Opportunity Employer Disabled/Minorities/Veterans/Women
Nexteer is an E-Verify employer. E-Verify is an internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employees to electronically verify the employment eligibility of their newly hired employees in the United States.
Accessibility for Applicants with Disabilities: If you need a reasonable accommodation for the online application process due to a disability, please email careers@nexteer.com. Please provide your contact information and details about the posted position of interest. Only inquiries regarding assistance for those who need an accommodation with the online application process due to a disability will be returned.
About Nexteer
Nexteer Automotive is a global leader in advanced steering and motion control systems, enabling intuitive, safe, and comfortable mobility for drivers around the world. Our innovative product portfolio includes Electric Power Steering (EPS), Steer-by-Wire™, Driveline, and Advanced Driver Assistance Systems (ADAS) technologies that support electrification, software-defined vehicles, and autonomous driving.
With approximately 13,000 employees and operations in more than 20 manufacturing plants and multiple technical centers globally, Nexteer partners with nearly every major global and regional automotive manufacturer.
Employment Agencies
Employment agencies are an important component of our talent acquisition strategy, and we value the partnerships we have built with our preferred vendors. We will not accept unsolicited resumes from employment agencies for any employment opportunity. All resumes submitted by search firms to any employee at Nexteer Automotive or directly to hiring managers in any form without a signed Nexteer Automotive Agency Agreement on file, and search engagement for that position, will be deemed unsolicited in nature, and no fee will be paid in the event the candidate is hired as a result of the referral or through other means. Additionally, any resume submitted without a contract in place will be considered Nexteer Automotive property and no fees will be paid to the agency if the candidate is hired.
Please note, agency agreements will only be valid if in writing and signed by a member of Nexteer's Human Resources team. No other Nexteer employee is authorized to bind Nexteer to any agreement regarding the placement of candidates by an agency.

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