1

Manager Prompt Engineering Jobs in Michigan (NOW HIRING)

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability * Implement retrieval-augmented generation (RAG) architectures using internal and external data ...

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability * Implement retrieval-augmented generation (RAG) architectures using internal and external data ...

Develop AI-driven features; experience with AIGen, prompt engineering, and AI agents is preferred ... TechCollect is an information technology company that provides tech solutions for management ...

Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ... Collaboration: Partner with Product Management and Software Engineering teams to realize AI ...

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model evaluation and drift ...

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 ...

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 ...

Deep understanding of Core Java (Java 11/17+), JVM internals, memory management, tuning, and ... GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ...

Software Engineer

Wyoming, MI · On-site

$80K - $90K/yr

Deep understanding of Core Java (Java 11/17+), JVM internals, memory management, tuning, and ... GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ...

next page

Showing results 1-20

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?

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.

Are manager prompt engineers still in demand?

Manager prompt engineers are increasingly in demand as organizations seek professionals who can optimize AI interactions and develop effective prompts. The role requires skills in AI, natural language processing, and team management, and is expected to grow with the expansion of AI applications across industries.

Is manager prompt engineering a good career?

Manager prompt engineering is a growing role focused on designing and optimizing prompts for AI systems, requiring skills in AI, machine learning, and communication. It offers opportunities in technology companies and startups, often involving collaboration with data scientists and engineers. The career can be rewarding with increasing demand as AI adoption expands across industries.

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:

AI Software Engineer|Manufacturing

KLA-Belgium

Ann Arbor, MI • On-site

$111.10 - $188.90/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, focusing on innovation and investing 15% of sales back into research and development.

Job Description

The AI Software Engineer will design and build AI‑driven applications powered by large language models (LLMs), integrating AI capabilities into user‑facing products and focusing on application development, orchestration, and user experience.

  • Design and develop end‑to‑end AI applications that leverage LLMs for business use cases.
  • Build and maintain backend services that orchestrate LLM interactions, prompts, and workflows.
  • Prototype and develop intuitive user interfaces that enable effective human‑AI interaction.
  • Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications.
  • Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability.
  • Implement retrieval‑augmented generation (RAG) architectures using internal and external data sources.
  • Design data pipelines and connectors to enterprise systems (databases, APIs, knowledge bases).
  • Monitor, evaluate, and improve AI application performance using metrics such as latency, cost, and response quality.
  • Collaborate with product managers, data scientists, and business stakeholders to translate requirements into AI‑enabled solutions.
  • Ensure responsible AI practices, including privacy, security, and bias mitigation.
  • Rapidly prototype AI tools and iterate based on user feedback.
Preferred Qualifications
  • Experience working in manufacturing.
  • Building AI products using LLM frameworks (LangChain, Semantic Kernel, LlamaIndex).
  • Knowledge of retrieval‑augmented generation (RAG) and vector databases (Pinecone, FAISS, Azure Cognitive Search).
  • Experience with semantic search via vector databases (Milvus) and knowledge graphs (Neo4j).
  • Orchestrating multi‑step AI workflows or agent‑based systems.
  • Familiarity with enterprise data platforms and integrations (Snowflake, SAP, APIs, knowledge graphs).
  • Designing conversational interfaces or chat‑based applications.
  • Understanding of evaluation techniques for LLM outputs (quality, grounding, hallucination mitigation).
  • Exposure to prompt optimization and fine‑tuning concepts.
  • Experience deploying scalable microservices architectures.
  • Strong UI/UX sensibility for AI‑driven applications.
  • Cross‑functional teamwork delivering production‑grade AI solutions.
  • Minors: Bachelor’s in Computer Science, Software Engineering, or related field with 3+ years professional software development experience.
  • Programming skills in Python, JavaScript, or similar languages.
  • Building and consuming RESTful APIs.
  • Integrating LLM APIs and prompt engineering.
  • Web‑based user interface development (React, Angular, or similar frameworks).
  • Cloud platform knowledge (Azure, Snowflake).
  • Software design principles, version control, and CI/CD practices.
Minimum Qualifications
  • Master’s degree and 6 years related work experience; or Bachelor’s degree and 8 years related work experience; or equivalent experience.
Compensation and Benefits
  • Base Pay Range: $111,100.00 – $188,900.00 annually.
  • Primary Location: USA-MI-Ann Arbor.
  • Benefits: medical, dental, vision, life, 401(K) with company matching, employee stock purchase program, tuition reimbursement, wellness programs, paid time off, holidays, and family care leave.
Equal Opportunity

KLA is a proud Equal Opportunity Employer and will provide reasonable accommodation to qualified individuals with disabilities to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.

Contact

For accommodations, contact talent.acquisition@kla.com or +1‑408‑352‑2808.

#J-18808-Ljbffr