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Generative Ai Developer Jobs in Maple Grove, MN (NOW HIRING)

Prophecy Technologies

Generative AI Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

... Generative AI and Agentic AI solutions. The architect will be responsible for building scalable ... Define prompt engineering, fine-tuning, and model evaluation strategies. * Architect AI solutions ...

Graco

AI intern

Dayton, MN · On-site

The AI Engineer Intern position is responsible for assisting in the development, testing, and deployment of Generative AI solutions in collaboration with product managers, software engineers, and ...

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Graco

AI Intern

Dayton, MN · On-site

$15.75 - $21/hr

The AI Engineer Intern position is responsible for assisting in the development, testing, and deployment of Generative AI solutions in collaboration with product managers, software engineers, and ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Maple Grove, MN

Generative Ai Developer information

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$19

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How much do generative ai developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for generative ai developer in Maple Grove, MN is $46.37, according to ZipRecruiter salary data. Most workers in this role earn between $24.13 and $56.11 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Maple Grove, MN?

For Generative Ai Developer jobs in Maple Grove, MN, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Maple Grove, MN look for?

The top searched job categories for Generative Ai Developer jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Generative Ai Developer jobs?

Cities near Maple Grove, MN with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Maple Grove, MN as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $96,455 per year, or $46.4 per hour.

Generative AI / Agentic AI Engineer

Brooklyn Park, MN • On-site

Dahl Consulting
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Dahl Consultingexternal

$67 - $112/hr

Other

Posted 3 days ago

New

Job description

Title: Generative AI / Agentic AI Engineer
Location: Brooklyn Park, MN | Hybrid – onsite 2 days per week
Job Type: Contract (4 months)
Compensation: $67.00 - $112.00 per hour (W2)
Industry: Retail
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About the Role
We are seeking an experienced Generative AI / Agentic AI Engineer with 5-6 years of experience in software engineering, machine learning, AI, or data science, including at least 2 years of hands-on experience developing and deploying Generative AI solutions in production environments.
The ideal candidate combines strong software engineering expertise with practical experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), conversational AI, prompt engineering, and emerging agentic AI architectures. In this role, you will design, build, evaluate, and operationalize scalable AI-powered applications that solve complex business challenges and deliver measurable business value.
You will collaborate closely with product, engineering, architecture, data science, security, and business stakeholders to transform business requirements into reliable, enterprise-grade AI solutions.
Job Description
Key Responsibilities
  • Design, develop, and deploy end-to-end Generative AI applications from proof of concept through production implementation, monitoring, and optimization.
  • Build and enhance RAG-based applications and conversational AI solutions utilizing LLMs, vector databases, embeddings, retrieval techniques, reranking strategies, and context management approaches.
  • Develop and optimize prompt engineering frameworks, including structured prompting, few-shot learning, tool calling, and reusable prompt workflows.
  • Implement LLM evaluation and testing frameworks that assess response quality, relevance, accuracy, groundedness, safety, latency, cost efficiency, and overall application performance.
  • Design, develop, and support autonomous and multi-agent AI workflows that enable reasoning, planning, tool utilization, and workflow orchestration.
  • Contribute to enterprise-scale AI platforms focused on orchestration, observability, governance, lifecycle management, and responsible AI practices.
  • Build scalable Python services, APIs, integration components, evaluation pipelines, and supporting AI infrastructure.
  • Partner with cross-functional teams to deliver AI solutions aligned with business objectives and technical standards.
  • Apply software engineering best practices, including code reviews, automated testing, source control management, CI/CD pipelines, Agile methodologies, and SDLC processes.
  • Monitor and optimize production AI systems to improve reliability, scalability, performance, model quality, user experience, and operational efficiency.
  • Support the development of secure, governed, and compliant AI capabilities across the organization.
Qualifications
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related field, or equivalent professional experience.
  • 5-6 years of professional experience in software engineering, machine learning, artificial intelligence, data science, or related technical disciplines.
  • Minimum 2 years of hands-on experience building and deploying end-to-end Generative AI applications in production environments.
  • Strong experience with Large Language Models (LLMs), Generative AI application development, Retrieval-Augmented Generation (RAG), conversational AI solutions, prompt engineering, prompt optimization, and LLM evaluation methodologies.
  • Advanced programming skills in Python with strong software engineering fundamentals.
  • Hands-on experience with AI/ML frameworks, LLM orchestration technologies, vector databases, embeddings, retrieval strategies, reranking techniques, and model integration technologies.
  • Experience designing and implementing agentic AI and multi-agent systems, including orchestration, memory management, workflow execution, tool integration, guardrails, and evaluation frameworks.
  • Experience developing and integrating APIs, cloud-native applications, and scalable services.
  • Understanding of enterprise AI considerations including Responsible AI, security, governance, observability, reliability, scalability, and data privacy.
  • Experience with modern software development practices, including Git, automated testing, CI/CD pipelines, Agile methodologies, and SDLC processes.
  • Strong communication, problem-solving, and stakeholder management skills, with the ability to collaborate effectively across technical and business teams.
Preferred Qualifications
  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Experience delivering AI solutions within large-scale enterprise environments.
  • Experience with cloud platforms and AI services such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar offerings.
  • Hands-on experience with GenAI and agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or comparable orchestration technologies.
  • Experience with MLOps, LLMOps, AI observability, model monitoring, governance, and lifecycle management platforms.
  • Knowledge of enterprise architecture principles, distributed systems, and scalable application design.
  • Experience building reusable AI platforms, frameworks, or shared services that support enterprise-wide adoption.
  • Experience in retail, e-commerce, supply chain, digital commerce, or other customer-focused industries.
  • Relevant certifications in cloud computing, artificial intelligence, machine learning, or software engineering.
Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.
How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!
Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
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