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Generative Ai Developer Jobs in Minnesota (NOW HIRING)

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 ...

New

Graco

AI Intern

Dayton, MN

$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 ...

New

Horizontal Talent

Senior AI Engineer

Minneapolis, MN · Remote

$115K - $175K/yr

Build and operationalize generative AI solutions, including retrieval-augmented generation, and ... Working knowledge of data engineering, SQL, and feature engineering. * Experience with ML Ops ...

Expleo

Customer AI Operations Engineer

Minneapolis, MN · On-site

$72K - $98K/yr

Trissential is seeking a Customer AI Operations Engineer to join our client's team and take ownership of the operational success of enterprise AI agents, virtual assistants, and generative AI ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for generative ai developer in Minnesota is $44.36, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $53.70 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 Minnesota?

For Generative Ai Developer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Minnesota look for?

The top searched job categories for Generative Ai Developer jobs in Minnesota are:

What cities in Minnesota are hiring for Generative Ai Developer jobs?

Cities in Minnesota with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Minnesota as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $92,260 per year, or $44.4 per hour.

Artificial Intelligence Developer - Hybrid

Virginia, MN • On-site

Worky
See more jobs at Workyexternal

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Benefits
  • Health insurance
  • Paid time off
  • Vision insurance
  • 401(k)
  • 401(k) matching
  • Dental insurance

AET Federal Inc. is seeking an AI Developer to support the design, development, integration, and deployment of AI-powered solutions for government and enterprise customers. This role serves as a technical bridge between AET Federal’s AI capabilities and customer mission requirements, working directly with stakeholders to identify operational challenges and develop secure, scalable, production-ready AI solutions.

The ideal candidate combines strong software engineering skills with hands-on experience in Generative AI, large language models (LLMs), AI agents, APIs, cloud technologies, and enterprise systems. This is a highly collaborative, customer-facing role requiring the ability to translate complex business and technical requirements into practical AI solutions.

Key Responsibilities
  • Work directly with customers to understand workflows, business processes, and mission requirements and identify opportunities for AI-driven automation.
  • Design, develop, and deploy AI agents and AI-enabled applications using technologies such as LLMs, RAG, and agentic AI frameworks.
  • Write production-quality code in Python, JavaScript, or TypeScript to develop AI solutions, integrations, and supporting applications.
  • Integrate AI solutions with enterprise and government systems using REST APIs, custom connectors, databases, and cloud platforms.
  • Support integrations with platforms such as Salesforce, ServiceNow, SAP, Oracle, Microsoft, and other enterprise applications.
  • Lead technical implementation activities for AI pilots, prototypes, and production deployments.
  • Troubleshoot, optimize, and enhance AI solutions to improve performance, reliability, security, and scalability.
  • Collaborate with AET Federal engineering, cybersecurity, data, and program teams to ensure solutions meet customer and mission requirements.
  • Provide technical feedback and recommendations to continuously improve AET Federal’s AI capabilities and solutions.
Required Qualifications
  • 3+ years of professional experience in software engineering, AI engineering, solutions engineering, or a related technical role.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Hands-on experience with Generative AI, LLMs, prompt engineering, or AI agent development.
  • Experience working with REST APIs, SQL databases, and cloud environments such as AWS, Azure, or GCP.
  • Understanding of AI application development, including RAG, embeddings, vector databases, or LLM frameworks.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent written and verbal communication skills, with the ability to communicate technical concepts to both technical and non-technical stakeholders.
  • Ability to work independently in customer-facing environments and collaborate effectively across technical and business teams.
  • Ability to travel to customer sites as required.
Preferred Qualifications
  • Experience with LangChain, OpenAI APIs, Azure OpenAI, or similar AI/LLM platforms.
  • Experience developing agentic AI systems or multi-agent applications.
  • Experience with vector databases such as Pinecone, Weaviate, or similar technologies.
  • Experience integrating enterprise platforms such as SAP, Oracle, Salesforce, ServiceNow, or Workday.
  • Experience working in federal government, defense, healthcare, or other highly regulated environments.
  • Familiarity with DevSecOps, CI/CD, containerization, and secure cloud architectures.
  • Active U.S. government security clearance or ability to obtain one is a plus.
Work Environment

This position may involve a combination of remote work, AET Federal office work, and customer-site support. Occasional travel may be required based on customer and project needs.

Flexible work from home options available.

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