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Genai Developer Jobs in Minneapolis, MN (NOW HIRING)

Swift Hire LLC

GenAI Engineer

Edina, MN · On-site

Seeking an GenAI Engineer with expertise in GenAI, RAG pipelines, Agentic AI, Python, Knowledge Graphs, APIs, and orchestration frameworks to build enterprise-scale, secure, observable, and governed ...

TEKsystems

Lead GenAI Engineer

Minneapolis, MN · Hybrid

$75 - $85/hr

Candidates need to have solid GenAI experience, understanding of entire SLDC, azure or GCP ... Required Qualifications: 4+ years of Specialty Software Engineering experience, or equivalent ...

New

TEKsystems

Lead GenAI Engineer

Minneapolis, MN · Hybrid

$75 - $85/hr

Candidates need to have solid GenAI experience, understanding of entire SLDC, azure or GCP ... Required Qualifications: 4+ years of Specialty Software Engineering experience, or equivalent ...

New

Systemart LLC

React Developer

Wayzata, MN · On-site

$105K - $122K/yr

This individual will be assigned to a "GenAI Discovery and Prototyping" team. We need this person to act as a front-end developer, connecting GenAI prototypes to user experiences. Expectation that ...

Accenture

Mulesoft Developer

Minneapolis, MN · On-site

$52.50 - $69.75/hr

Use AI and GenAI tools responsibly to support productivity, documentation, and development, while ... MuleSoft Certified Developer Level 1 certification, or the ability to obtain it within 90 days of ...

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Genai Developer information

See Minneapolis, MN salary details

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$55

$85

How much do genai developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for genai developer in Minneapolis, MN is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $42.16 and $67.50 per hour, depending on experience, location, and employer.

What is a GenAI developer?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What are some common challenges GenAI developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What are the key skills and qualifications needed to thrive as a GenAI developer, and why are they important?

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

How to become a GenAI developer?

To become a GenAI developer, you should gain expertise in machine learning, deep learning, and natural language processing, with a focus on generative models like GPT. Proficiency in programming languages such as Python, experience with frameworks like TensorFlow or PyTorch, and understanding of large language models are essential. Building a portfolio of projects and staying updated with AI research can also enhance your qualifications.

Is a Genai Developer a promising career?

A Genai Developer is a growing role focused on developing and implementing generative AI models, which are increasingly used across industries. The field requires skills in machine learning, programming, and AI frameworks, and offers strong job growth prospects due to expanding AI adoption. Continuous learning and staying updated with new tools are important for success in this career.
Genai Developer jobs near you
Infographic showing various Genai Developer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 77% Full Time, 7% Part Time, and 16% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $114,719 per year, or $55.2 per hour.

GenAI Engineer

Swift Hire LLC

Edina, MN • On-site

Contractor

Posted 8 days ago

Job description

Seeking an GenAI Engineer with expertise in GenAI, RAG pipelines, Agentic AI, Python, Knowledge Graphs, APIs, and orchestration frameworks to build enterprise-scale, secure, observable, and governed multi-agent platforms enabling autonomous AI solutions through standardized orchestration, evaluation, monitoring, and operational excellence.

Experience: 8+ Years
Location: Edina, MN | Chicago, IL
Hybrid – 3 days’ Work from Office
 
Educational Qualifications: -
Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.

Skills: -
Mandatory skills
· The ideal engineer will have experience building scalable, extensible, and technology-agnostic AI platforms that allow different teams and business domains to develop agents independently while adhering to common enterprise standards for interoperability, security, governance, reliability, and operational management.
· The platform should also provide a centralized gateway for AI model interactions, agent tools, and external services, ensuring consistent security, governance, authentication and authorization, access control, throttling, monitoring, and policy enforcement.
· The role should also focus on building production-grade AI engineering capabilities, including Agent Harness Engineering, automated and closed-loop evaluation, feedback loops, prompt and model evaluation, observability, guardrails, resiliency, and continuous improvement mechanisms.
· The goal is to create a reusable platform where multiple business domains can build, deploy, monitor, and operate autonomous agents using standardized enterprise patterns rather than creating isolated agent solutions.
· The engineer should have experience designing agentic workflows and multi-agent orchestration, including both event-driven and workflow-based patterns. The platform should support scalable communication and coordination between agents, enterprise systems, tools, APIs, and diverse data sources. A
· key responsibility will be establishing enterprise-grade observability across the platform, including centralized instrumentation, tracing, operational metrics, performance monitoring, error tracking, and visibility into agent execution and behavior. The platform should enable teams to build, deploy, and operate AI agents using a variety of development approaches and frameworks while providing a standardized enterprise foundation for orchestration, integration, governance, security, and observability.
· Experience with frontend technologies, particularly Angular. Develop user interfaces using HTML, CSS, and JavaScript/TypeScript.
· Familiarity with front-end frameworks and build tools (e.g., Webpack).
· Software Design and Best Practices: Apply software design principles such as SOLID and Domain-Driven Design.
· Understand code patterns and practices.
· Maintain currency in technical skills and industry trends.
· US and those authorized to work in the US are encouraged to apply. We are unable to sponsor visas currently.