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Ai Full Stack Developer Jobs in Minnesota (NOW HIRING)

Purple Drive

AI Full-Stack Developer

Minneapolis, MN · On-site

Overview: Role Overview We are seeking an AI Full-Stack Developer to build and scale production-grade applications that integrate AI/ML capabilities into both user-facing interfaces and backend ...

Wipro

AI Augmented Full Stack Developer

Minneapolis, MN · On-site

$60K - $135K/yr

AI Augmented Full Stack Developer City: Minneapolis State/Province: Minnesota Posting Start Date: 5/20/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

New

Ubertal Inc

Full-Stack Developer

Roseville, MN · On-site

Full-Stack Developer Location: Roseville, MN Engagement Type: Contract Work Mode: Hybrid (Onsite two days per week) Duration: December 1, 2025 - June 30, 2026 (7 months) Interview Type: Microsoft ...

divihn.com

Full Stack Developer (.Net)

Saint Paul, MN · On-site

Full Stack Developer (.Net) Duration: 12 Months (with possible extension) Location: St. Paul, MN ... Experience supporting ML/AI data preparation workflows * DevOps experience (CI/CD pipelines ...

DivIHN

Full Stack Developer (.Net)

Saint Paul, MN · On-site

Full Stack Developer (.Net) Duration: 12 Months (with possible extension) Location: St. Paul, MN ... Experience supporting ML/AI data preparation workflows * DevOps experience (CI/CD pipelines ...

Purple Drive

AI Fullstack Engineer

Minneapolis, MN · On-site

Overview: Role Overview We are seeking a hands-on AI Full Stack Developer to build and deliver end-to-end AI-powered applications that integrate LLM/GenAI capabilities into real-world business ...

TWO95 International

Full stack developer

Richfield, MN · On-site

Full Stack Developer Position Type - Full Time position Location: Richfield, Minnesota. Salary: $Market + Excellent Benefits + Relocation Assistance (3-5k) Requirements Mandatory Skills: Full Stack ...

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How much do ai full stack developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for ai full stack developer in Minnesota is $58.04, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.88 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

What are popular job titles related to Ai Full Stack Developer jobs in Minnesota? For Ai Full Stack Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai Full Stack Developer jobs in Minnesota look for? The top searched job categories for Ai Full Stack Developer jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Full Stack Developer jobs? Cities in Minnesota with the most Ai Full Stack Developer job openings:
Ai Full Stack Developer jobs near you

AI Full-Stack Developer

Purple Drive Technologies

Minneapolis, MN • On-site

Full-time

Posted 18 days ago

Job description

Overview:
Role Overview
We are seeking an AI Full-Stack Developer to build and scale production-grade applications that integrate AI/ML capabilities into both user-facing interfaces and backend services. This role blends strong full-stack engineering fundamentals with hands-on experience integrating LLMs, AI agents, and ML services into real-world workflows.
The ideal candidate is comfortable moving end-to-end-from UI/UX for AI features to backend orchestration of model inference-while following secure SDLC practices and collaborating closely with platform and architecture teams.
Key Responsibilities
  • Build full-stack applications that integrate AI/ML outputs into frontend experiences and backend workflows
  • Develop APIs and services to orchestrate:
    • Model inference
    • Prompt flows
    • Agent and tool/function integrations
  • Leverage AI coding assistants (GitHub Copilot, agentic IDEs) to accelerate development while maintaining high code quality
  • Design and implement UI/UX experiences for AI features, including:
    • AI explanations and transparency
    • User feedback loops
    • Human-in-the-loop controls
  • Apply secure SDLC practices:
    • Code reviews
    • Automated testing
    • Dependency management
    • Vulnerability remediation
  • Collaborate with architects and platform teams to align with enterprise standards and reuse shared components
  • Deliver iteratively in an Agile environment, contributing to continuous improvement
Required Qualifications
  • 5+ years of experience building production-grade software (backend and/or frontend)
  • Strong development experience in one or more of the following ecosystems:
    • Java
    • Python
    • .NET
  • Experience with modern web frameworks and UI technologies:
    • React or similar frameworks
  • Strong experience developing RESTful APIs
  • Working knowledge of:
    • CI/CD pipelines
    • Git workflows
    • Automated testing frameworks
  • Experience integrating with:
    • ML services
    • LLM / agent runtimes
    • Data platforms via APIs
  • Strong analytical and problem-solving skills
  • Proven ability to deliver solutions incrementally in an Agile environment
AI-Specific Experience (Highly Desired)
  • Experience building internal AI tools or copilots
  • Hands-on experience with:
    • Prompt engineering
    • Tool / function calling
    • Agent-based workflows
  • Familiarity with observability for AI features, including:
    • Quality and performance metrics
    • Prompt and model versioning
  • UX experience designing AI-driven interactions, feedback capture, and explainability features
Nice-to-Have Skills
  • Experience working with modern AI/ML platforms or cloud AI services
  • Knowledge of monitoring, logging, and alerting for AI-enabled systems
  • Experience collaborating with data science or ML engineering teams

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