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Ai Prompt Engineer Jobs in Minnesota (NOW HIRING)

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion ... prompt engineering and evaluation techniques Experience building enterprise-grade GenAI ...

Your role will involve prompt engineering and evaluation, deploying agents using cloud platforms, and collaborating with cross-functional teams to translate business needs into effective AI solutions.

Your role will involve prompt engineering and evaluation, deploying agents using cloud platforms, and collaborating with cross-functional teams to translate business needs into effective AI solutions.

AI Developer - Agentic AI

Plymouth, MN · On-site

$120 - $180/hr

Hands-on AI Developer building production-grade Agentic AI and RAG solutions for an enterprise AI ... Develop LLM evaluation and quality frameworks, including prompt versioning, regression testing ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

... inference, prompt flows, and agent/tool integrations. • Leverage AI coding assistants (e.g ... with prompt engineering and tool/function calling. • Experience with observability for AI ...

... prompt engineering techniques, retrieval techniques, vector databases, indexing strategies (like ... AI models. o Experience with large language models (LLMs) such as GPT, BERT, and OpenAI's fine ...

AI Software Engineer

Shoreview, MN · On-site

$80K - $100K/yr

Hands-on experience with prompt engineering, RAG, embeddings, and AI workflows * Experience integrating AI/LLM capabilities into production web applications * Experience with .NET / C# * Experience ...

Showing results 21-40

Ai Prompt Engineer information

See Minnesota salary details

$24

$52

$75

How much do ai prompt engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai prompt engineer in Minnesota is $52.53, according to ZipRecruiter salary data. Most workers in this role earn between $42.36 and $60.96 per hour, depending on experience, location, and employer.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

What is the job of an AI Prompt Engineer?

An AI Prompt Engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like natural language processing to ensure accurate and relevant outputs, often working with machine learning frameworks and data annotation techniques.

What are the most commonly searched types of Ai Prompt Engineer jobs in Minnesota?

The most popular types of Ai Prompt Engineer jobs in Minnesota are:

What are popular job titles related to Ai Prompt Engineer jobs in Minnesota?

For Ai Prompt Engineer jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Ai Prompt Engineer jobs?

Cities in Minnesota with the most Ai Prompt Engineer job openings:

Infographic showing various Ai Prompt Engineer job openings in Minnesota as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $109,256 per year, or $52.5 per hour.

AI/ML Engineer

Digital Links Inc

Minneapolis, MN • On-site

Contractor

Re-posted 14 days ago


Job description

Job Description:

 
Role: AI/ML Engineer 
Duration: 3-month contract (Could be extended for 6 months before conversion)
Location: Minneapolis, MN (Remote/hybrid)
 
Role Objective
We are seeking a hands-on AI/ML Engineer to design, build, and deploy production-grade AI solutions. This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and enterprise integrations. The ideal candidate should be capable of independently delivering scalable AI systems aligned with business use cases.
 
Must-Have Skills (Non-Negotiable)
1. Core AI/ML Engineering
Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow)
Experience building and deploying end-to-end ML/AI systems
Ability to take solutions from prototype to production
2. Generative AI & LLMs
Hands-on experience with LLMs (OpenAI, Vertex AI, etc.)
Strong prompt engineering and evaluation techniques
Experience building enterprise-grade GenAI applications
3. RAG (Critical Requirement)
Proven experience designing and implementing RAG architectures
Experience with vector databases (Pinecone, Weaviate, etc.)
Ability to integrate domain-specific data into AI systems
4. Agentic AI / AI Agents
Experience building AI agents / multi-agent systems
Familiarity with orchestration frameworks and modern agent SDKs
5. API & Backend Development
Strong experience with FastAPI or Flask
Ability to build scalable AI services and APIs
6. Cloud & Deployment (GCP Preferred)
Experience with GCP (preferred) or AWS/Azure
Deploying AI solutions in cloud-native environments
Understanding of scalability, performance, and cost optimization
7. DevOps & Production Readiness
Experience with CI/CD (GitLab, Jenkins)
Infrastructure as Code (Terraform/Ansible)
Monitoring, logging, and AI observability
 
Nice-to-Have (Strong Plus)
Experience in education / digital learning platforms
Exposure to regulated environments
Knowledge of TypeScript / Java / SQL
Experience integrating AI into enterprise systems
 
Experience Required
5+ years in Software Engineering / AI/ML
Proven track record of:
Delivering production AI systems
Working in Agile cross-functional teams
Driving solutions with minimal oversight