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Generative Ai Developer Jobs in Minnesota (NOW HIRING)

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

AI Engineer

Minneapolis, MN · On-site

$69K - $134K/yr

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing initiatives.

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing initiatives.

The AI Engineer will be responsible for designing, developing, and deploying generative AI solutions to drive enterprise-wide transformation, collaborating with cross-functional teams to deliver high ...

... models, or generative AI (eg. Azure AI Foundry, Google Vertex) • Familiarity with agent ... Mortenson is a U.S.-based, top-25 builder, developer and provider of energy and engineering ...

AI Engineer

Saint Paul, 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 ...

You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering, and reliability practices. * Identify opportunities to improve operational efficiency, governance ...

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 ...

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 ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Jul 14, 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 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 are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

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.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

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 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:

AI/ML Engineer

Digital Links Inc

Minneapolis, MN • On-site

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