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Generative Ai Developer Jobs in Maple Grove, MN (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 ...

VivaQuant, Inc.

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Abotts Inc

Senior AI Engineer

Eden Prairie, MN · On-site

$120 - $160/hr

... generative and agentic AI solutions on a multi-cloud, multi-model stack. The ideal candidate is ... Partner with Systems Engineering, Security, and Data teams to integrate AI workloads with identity ...

Surescripts

Principal AI Engineer

Minneapolis, MN · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Principal AI Engineer is the most senior individual contributor and technical lead for ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

Relativity

Software Engineer

Minneapolis, MN · On-site

  • Medical

  • Retirement

Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and ...

US Bank

AI Scientist

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate combines deep scientific expertise with strong software engineering and ... Lead the development of solutions leveraging foundation models, generative AI, retrieval-augmented ...

Target

Senior AI Engineer - Circlecard

Minneapolis, MN · On-site

$98K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You are equally comfortable designing distributed services and applying Generative AI technologies to solve complex engineering and business problems. Youleveragestrong software engineering ...

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Showing results 21-40

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

Generative Ai Developer information

See Maple Grove, MN salary details

$19

$46

$103

How much do generative ai developer jobs pay per hour?

As of Aug 19, 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 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 August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $96,455 per year, or $46.4 per hour.

AI/ML Engineer

Digital Links Inc

Minneapolis, MN • On-site

Contractor

Re-posted 26 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