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Manager Prompt Engineering Jobs in Michigan (NOW HIRING)

Machine Learning Engineer

Dearborn, MI

$105K - $126K/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 ...

Familiarity with prompt engineering and evaluation frameworks. * Experience with containerization ... Identity and Access Management * Secure Deployment Practices Success Measures: * Delivers ...

New

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 ...

... management. Ensure AI solutions are reliable, scalable, secure, and optimized for production ... Practical experience developing applications using Large Language Models (LLMs), prompt engineering ...

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

... management. Ensure AI solutions are reliable, scalable, secure, and optimized for production ... Practical experience developing applications using Large Language Models (LLMs), prompt engineering ...

Intern - Systems Engineering

Southfield, MI

$15.25 - $20/hr

Python programming skills * Prompt engineering experience with LLMs (GPT, Claude, etc ... Final decisions are always made by the hiring manager and the hiring team. Importantly, no ...

Intern - Systems Engineering

Southfield, MI · On-site

$15.25 - $20/hr

Python programming skills * Prompt engineering experience with LLMs (GPT, Claude, etc ... Final decisions are always made by the hiring manager and the hiring team. Importantly, no ...

... managing AI coding tools and agentic development capabilities. • Familiarity with prompt engineering, agent workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development ...

ChatGPT Tutor

Detroit, MI · Remote

$18 - $40/hr

... management, and responsible AI usage while preparing students for productive and ethical AI-assisted workflows. * Conceptual Teaching & Problem-Solving: Skilled at teaching prompt engineering ...

ChatGPT Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... management, and responsible AI usage while preparing students for productive and ethical AI-assisted workflows. * Conceptual Teaching & Problem-Solving: Skilled at teaching prompt engineering ...

ChatGPT Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... management, and responsible AI usage while preparing students for productive and ethical AI-assisted workflows. * Conceptual Teaching & Problem-Solving: Skilled at teaching prompt engineering ...

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Manager Prompt Engineering information

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 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 are the most commonly searched types of Prompt Engineering jobs in Michigan? The most popular types of 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:

Full-time

Re-posted 12 days ago


Job description

Role - GenAI Engineer
Location - (Hybrid from Altimetrik office )
Altimetrik's office locations in the USA:
Southfield, MI 48075, Princeton, NJ 08540, Santa Clara, CA 95054, Austin, TX 78750, Dardenne Prairie, MO 63368, San Francisco, CA 94105

Selected candidate can work from any of the location above as Onsite Hybrid Mode.
Customer Need
The project is focused on building production-grade GenAI solutions with emphasis on:
RAG pipelines leveraging LLMs
Prompt engineering (system/tool prompts, function calling, versioning with evals)
Evaluation & observability (ground truth setup, confusion metrics, LLM-as-judge with human review, cost & latency monitoring)
Retrieval strategies & prompt patterns (context management, hallucination mitigation)
LangChain/LlamaIndex (or equivalent) proficiency
Cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex AI)
Workflow orchestration (Airflow, Dagster)
Security & privacy (PII handling, RBAC)
Python expertise with strong practical experience
Success criteria:
A production-ready prompt + RAG pipeline system with measurable quality lift (accuracy/confusion metrics) and reduced hallucinations, backed by a repeatable evaluation harness.