ZipRecruiter

Log In

1

Manager Prompt Engineering Jobs in Michigan (NOW HIRING)

Stefanini

Artificial Intelligence Engineer

Dearborn, MI · Hybrid

Candidate should understand model lifecycle management, prompt engineering, and responsible AI practicesProficiency in Python and ML development tooling including Hugging Face, PyTorch or TensorFlow ...

Stefanini

Machine Learning Engineer

Dearborn, MI

... prompt engineering, and coding for tool building and analysis. Design and develop innovative ML ... data management, and accuracy Adapt machine learning and Gen AI capabilities to domains such as ...

Kasmo Global

Software Engineer

Troy, MI · Remote

Experience building AI-native applications, prompt engineering, or working with LLM APIs. • MCP ... Prior experience building workforce management, scheduling, or operations platforms. Must-Have ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Expertise in prompt engineering techniques for interacting with LLMs. * Experience with the OpenAI ... Enable model management for model versioning, traceability, and governance -- including responsible ...

Eccalon LLC

Full Stack Developer

Detroit, MI

Design and manage relational and NoSQL data models across PostgreSQL, DynamoDB, and MongoDB; optimize queries and data access patterns for performance and cost. * Apply structured prompt engineering ...

JDA

Sr Gen AI Engineer

Southfield, MI

$87.52K - $140.77K/yr

You'll work closely with researchers, product managers, and other engineers to transform ... Knowledge of prompt engineering and AI safety/alignment techniques * Document code, algorithms, and ...

next page

Showing results 1-20

People also search for

All JobsManager Prompt Engineering JobsManager Prompt Engineering Jobs in Michigan

Manager Prompt Engineering information

What are the key skills and qualifications needed to thrive as a Manager of Prompt Engineering, and why are they important?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a Manager of Prompt Engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.

What is a Manager of Prompt Engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.
What are the most commonly searched types of Prompt Engineering jobs in Michigan? The most popular types of Prompt Engineering jobs in Michigan are:
What are popular job titles related to Manager Prompt Engineering jobs in Michigan? For Manager Prompt Engineering jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Manager Prompt Engineering jobs in Michigan look for? The top searched job categories for Manager Prompt Engineering jobs in Michigan are:
What cities in Michigan are hiring for Manager Prompt Engineering jobs? Cities in Michigan with the most Manager Prompt Engineering job openings:
Manager Prompt Engineering jobs near you
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Stefanini Group

Dearborn, MI • On-site

$76 - $81/hr

Contractor

Posted 27 days ago

Job description

Details:
Stefanini Group is hiring!
Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI)
For quick apply, please reach out to Fardeen Ali at 248-582-6473/Fardeen.ali2@stefanini.com
We are seeking an AI Engineer to support AI and ML engineering capability within the TOP platform, including model fine-tuning oversight, agentic orchestration architecture, and LLM evaluation. Oversee vendor fine-tuning of Google Cloud Vertex AI using proprietary diagnostic data, ensuring compliance with IP protection requirements and model weight storage architecture
Responsibilities
  • Design and build Orchestration Layer. The integration framework that connects external AI engine with other internal AI engines and TOP platform services
  • Evaluate AI engine outputs against defined accuracy, latency, and first-time fix rate metrics; drive iterative improvement through structured feedback loops
  • Define model evaluation frameworks and acceptance criteria for AI-generated triage recommendations, ensuring clinical accuracy before dealer-facing deployment
  • Build internal tooling for model monitoring, drift detection, and retraining triggers within GCP environment
  • Collaborate with data engineering team to define data preparation and feature engineering requirements that support model fine-tuning and inference quality
  • Partner with the GCP Cloud Engineers to ensure model artifact storage, versioning, and access controls comply with IP and security policies
  • Contribute to the long-term insourcing roadmap by documenting model architectures, training pipelines, and prompt frameworks in sufficient detail to enable internal replication

Represent AI and ML engineering in architecture reviews and vendor technical discussions.
Job Requirements
Details:
Experience Required
  • 5 or more years of professional experience in machine learning engineering, AI systems development, or applied AI research
  • Hands-on experience fine-tuning LLMs in a cloud environment, with specific preference for Google Cloud Vertex AI or equivalent managed ML platforms
  • Demonstrated experience building agentic AI systems using frameworks such as LangChain, LangGraph, Google Agent Builder, or equivalent orchestration tooling
  • Machine Learning - 3-5 years of applied ML experience including feature engineering, model selection, training, validation, and deployment. Candidate should be comfortable working with both structured and unstructured data in the context of real-world engineering or automotive telemetry use cases
  • 3-5 years writing production-quality Python for data engineering, ML pipeline development, or platform tooling. Proficiency with relevant libraries such as Pandas, NumPy, scikit-learn, and TensorFlow is expected, along with familiarity with code quality practices such as testing and version control.
  • 3-5 years of experience designing or working with AI systems, including the application of large language models, expert systems, or intelligent automation within developer or data workflows. Candidate should understand model lifecycle management, prompt engineering, and responsible AI practices
  • Proficiency in Python and ML development tooling including Hugging Face, PyTorch or TensorFlow, and MLflow or Vertex AI Experiments
  • Experience designing and evaluating LLM outputs for production systems, including prompt engineering, retrieval-augmented generation (RAG) architectures, and model evaluation metrics Strong understanding of MLOps practices including model versioning, deployment pipelines, monitoring, and retraining workflows on GCP
  • Experience working in regulated or IP-sensitive environments where model artifact ownership and data governance are active concerns
  • Google Cloud Platform - 2-5 years of hands-on experience with GCP services relevant to AI/ML and data workloads, including Vertex AI, BigQuery, GCS, Dataflow, or Cloud Composer, with the ability to deploy and manage workloads in a production cloud environment

Experience Preferred
  • Experience in automotive diagnostics, vehicle telematics, or connected vehicle platforms. Familiarity with Diagnostic Trouble Code (DTC) data, Over-the-Air (OTA) update systems, or repair order (RO) data structures • Experience with multi-agent AI systems and tool-use patterns in production • Google Cloud Professional Machine Learning Engineer certification

Education Required
  • Bachelor's Degree

Additional Information:
HYBRID / 4 days per week in the office)
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
#LI-FA1
#LI-ONSITE
Pay Range:
$ 76.00 - $ 81.00

Apply