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Prompt Engineer Jobs in Minnesota (NOW HIRING)

Programmers.io

AI Lead

Minneapolis, MN · On-site

... prompt engineering techniques, retrieval techniques, vector databases, indexing strategies (like chunking, hierarchical indexing), and hybrid search approaches, response quality evaluation evaluation ...

Wipro Limited

Data Engineer

Minneapolis, MN · On-site

$45K - $121K/yr

LLMs, Prompt Engineering * RAG (Retrieval-Augmented Generation) * AI APIs / model integration * Familiarity with COCO / orchestration frameworks (or similar tools like LangChain) Cloud & Ecosystem ...

Blank Metal Inc

Senior AI Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Expert knowledge of LLM APIs, vector databases, prompt engineering, agents, and emerging AI tools * Full-Stack Fluency : Advanced development skills across frontend, backend, and infrastructure * AI ...

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How much do prompt engineer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for prompt engineer in Minnesota is $46.12, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $59.57 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 engineers make $500,000?

Senior software engineers, especially those in specialized fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive tech companies or leadership roles.

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 AI tools. The role is expected to grow as AI adoption expands across industries.

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, AI tools, and programming languages like Python can influence compensation. Entry-level positions may start lower, while experienced prompt engineers working in tech hubs tend to earn higher salaries.
What are the most commonly searched types of Prompt Engineer jobs in Minnesota? The most popular types of Prompt Engineer jobs in Minnesota are:
What are popular job titles related to Prompt Engineer jobs in Minnesota? For Prompt Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Prompt Engineer jobs in Minnesota look for? The top searched job categories for Prompt Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Prompt Engineer jobs? Cities in Minnesota with the most Prompt Engineer job openings:
Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Minnesota as of June 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $95,923 per year, or $46.1 per hour.

Machine Learning Engineer - Python

drc

Maple Grove, MN

Other

Posted 26 days ago

Job description

Machine Learning Engineer

Data Recognition Corporation, Maple Grove MN

Company cannot provide sponsorship for this role

Please, no agencies or third parties

Summary: 

DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing productionready ML models. Working within an interdisciplinary team, you will develop Pythonbased AI solutions that run in scalable, cloudnative environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.

Essential Responsibilities:

 

  • Design, train, evaluate and iterate on machine learning models to support DRC’s education analytics products
  • Develop high-quality, maintainable Python code for model training, experimentation and evaluation workflows
  • Collaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments
  • Diagnose and communicate issues related to model performance, data quality, or deployment behavior
  • Work with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
  • Contribute to best practices for model versioning, reproducibility and monitoring.

Required Qualifications:

 

  • 2-5 years of professional experience with Python.
  • Experience with ML frameworks such as TensorFlow or PyTorch
  • Experience preparing datasets, training models and evaluating performance
  • Hands-on experience with NLP techniques and large language models (e.g., transformers)
  • Proficiency with data science tools and programming languages (e.g., Python, R, SQL).
  • Ability to communicate technical findings and issues clearly across teams
  • Familiary with deploying ML models to cloud-based environments (AWS preferred)
  • Understanding of CI/CD concepts and how models move from experimentation to production
  • Ability to identify and articulate deployment related issues without owning implementation

Preferred Qualifications (nice to have, not required):

 

  • Associates or Bachelor’s degree in Computer Science, Information Systems, Data Science or related technical field.
  • Hands-on experience working with large language models and prompt engineering (e.g., OpenAI)
  • Understanding of the unique challenges and requirements of educational assessment data
  • Experience working with version control (Git) and a collaborative development workflow

Essential Job Requirements:

  • Be able to work under supervision and accept feedback
  • Familiarity with Microsoft Office Suite
  • Relate effectively and work respectfully with diverse work groups
  • Ability to consistently perform well during times of increased workload
  • Set and meet deadlines
  • Manage multiple job functions simultaneously

 

Reporting to this position: No direct reports

DRC retains the right to change or assign other duties to this position

No Agencies, Please

Company cannot provide sponsorship for this position

www.datarecognitioncorp.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Apply