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Generative Ai Developer Jobs in Minnesota (NOW HIRING)

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and ... optimization 7. DevOps & Production Readiness Experience with CI/CD (GitLab, Jenkins ...

Expleo

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$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 ...

Expleo

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$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 ...

Trissential, LLC

Customer AI Operations Engineer

Eyota, MN · On-site

$72K - $97K/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 ...

C4 Technical Services

AI/ML Engineer

Minneapolis, MN · On-site

Generative AI / LLM Application Development Hands-on experience building production-grade LLM applications, including prompt engineering, embeddings, semantic search, query expansion, citation ...

VivaQuant, Inc.

AI Engineer

Arden Hills, MN · On-site

$110K - $130K/yr

Rhythm Express is seeking an AI Engineer to join our team to develop and implement machine learning ... Generative AI knowledge lookup tools is a plus. We are a leading provider of remote cardiac ...

UnitedHealth Group

AI/ML Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI ... Partner with business, architecture, engineering, and operations teams to identify high-value use ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI ... Partner with business, architecture, engineering, and operations teams to identify high-value use ...

Deloitte

Forward Deployed Engineer- AWS

Minneapolis, MN · On-site

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

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Generative Ai Developer information

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$18

$44

$98

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.

AI/ML Engineer

Minneapolis, MN • On-site

Digital Links Inc
See more jobs at Digital Links Incexternal

Contractor

Re-posted 21 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