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Full Stack Ai Engineer Jobs in Minnesota (NOW HIRING)

Blank Metal Inc

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Full-Stack Skills : Strong development across frontend (React/modern frameworks), backend (Python ... AI Tooling : Comfortable with vector databases, prompt engineering, embedding models, and emerging ...

In Tandem

AI Engineer

Minneapolis, MN

$100K - $135K/yr

As our AI Engineer , you'll keep the AI infrastructure our products and teams run on fast ... A full-stack builder who wants the app layer too: you don't want to be boxed into infra. When a ...

Wipro Limited

Full Stack Engineer

Minneapolis, MN · On-site

$80K - $158K/yr

Job Title: Full Stack Engineer City: Minneapolis State/Province: Minnesota Posting Start Date: 8/12/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

New

Navtech, Inc.

Sr Java Full Stack Developer

Richfield, MN · On-site

$54.75 - $70.75/hr

I have an opportunity for "Sr java Full Stack Developer" - (Richfield, MN- REMOTE till COVID). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your ...

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Full Stack Ai Engineer information

See Minnesota salary details

$43.6K

$132K

$186.6K

How much do full stack ai engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full stack ai engineer in Minnesota is $131,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $154,700.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Minnesota?

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What job categories do people searching Full Stack Ai Engineer jobs in Minnesota look for?

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What cities in Minnesota are hiring for Full Stack Ai Engineer jobs?

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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Minnesota as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $131,996 per year, or $63.5 per hour.

Full Stack Engineer with AI and CMS/AEM (W2 Only)

Encore Consulting Services

Minneapolis, MN • On-site

Other

Posted 8 days ago

Job description

Full Stack Engineer with AI and CMS/AEM

Minneapolis, MN

6+ months contract

We are seeking a highly skilled and motivated Full Stack Engineer with experience in building modern, cloud-native applications and a strong interest in Agentic AI and AI-Driven Development Lifecycle (AIDLC). This role involves designing and developing scalable, secure, high-performance web applications and microservices on Microsoft Azure, while leveraging AI-assisted and agent-based development patterns to accelerate delivery, improve quality, and enable intelligent user experiences. Candidates with data engineering or AI platform exposure will have opportunities to contribute to data-driven initiatives, intelligent automation, and performance optimization.

Core Responsibilities

  • System Ownership: Design, scale, and maintain cloud-native microservices and robust system architectures on Microsoft Azure.
  • API Excellence: Architect secure, resilient, high-performance APIs using Java, Spring Boot, Spring Reactive, and WebFlux.
  • UI Leadership: Direct front-end strategies to deliver responsive, accessible, and performant user interfaces using modern JavaScript frameworks.
  • Tech Debt & Quality: Set engineering standards, champion code reviews, and ensure DevSecOps KPIs are exceeded while actively paying down tech debt.
  • Cross-Functional Collaboration: Partner with product managers, UX designers, and enterprise architects to translate complex business needs into technical reality.
  • AIDLC Enablement: Maximize the use of the team’s AI development productivity, refactoring, and test coverage.
  • Intelligent Features: Design and integrate AI-powered workflows, automated reasoning, and intelligent agent-based features into customer-facing applications.
  • Future Proofing: Collaborate with platform teams to evaluate, benchmark, and adopt cutting-edge, emerging AI tools.
  • CI/CD & Infrastructure: Oversee automated deployment pipelines, containerization strategy, and automated testing frameworks.
  • Observability: Drive production reliability, monitoring, and proactive troubleshooting using tools like Dynatrace and Splunk.

Required Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent professional experience.
  • Leadership: Demonstrated experience leading engineering teams, running design reviews, and mentoring junior/mid-level developers.
  • Back-End Mastery: 7+ years of software development experience, including 6+ years specializing in Java/J2EE, Spring Boot, Spring Reactive, and WebFlux.
  • Front-End Expertise: 6+ years of front-end experience utilizing JavaScript, HTML, CSS, and modern frameworks (React, Angular, or Vue.js).
  • API & Integration: 5+ years building high-throughput RESTful and SOAP web services.
  • Stack Depth: Proven experience with Node.js, asynchronous programming, ORM frameworks (Hibernate/JPA), and databases (MySQL, Cassandra).
  • Cloud & DevOps: Hands-on expertise building and deploying infrastructure on Microsoft Azure (AWS is a plus).
  • Experience with any Enterprise CMS platform (AEM preferred)

Nice to Have

  • Experience with data pipelines using Apache Airflow or Azure Data Factory.
  • Healthcare or commercial software development experience.
  • Experience in application modernization or re-engineering.
  • Familiarity with AEM, SEO tools (Google Lighthouse, Search Console), and Elasticsearch.

Soft Skills

  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently in a team-oriented, agile environment.
  • Passion for continuous learning and staying current with emerging technologies.

Apply