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Full Stack Ai Engineer Jobs in Minnesota (NOW HIRING)

Neshent Tech

Gen AI Developer

Minneapolis, MN

The role involves designing multi-agent workflows, integrating LLMs, and developing full-stack AI solutions using Python, Java Spring Boot, and React JS. Required Skills * Strong programming ...

Pi Square Technologies LLC

Java Full Stack

Minneapolis, MN · On-site

$54.75 - $70.75/hr

Java Full Stack Summary We are seeking a full-stack engineer skilled in Python and Java (Spring ... Cloud & DevOps: Azure (preferred) and Azure AI services, Docker, Kubernetes. * Hands-on with AKS ...

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 ...

Perrill

Full Stack WordPress Developer

Minnetonka, MN · On-site

$80K - $100K/yr

Full Stack WordPress Developer Location: Hybrid - Preference for candidates in the Twin Cities ... Comfortable using AI tools as part of your daily development workflow * Basic Git knowledge ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Minnesota

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 Jun 16, 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.

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 the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

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.
What are popular job titles related to Full Stack Ai Engineer jobs in Minnesota? For Full Stack Ai Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Minnesota look for? The top searched job categories for Full Stack Ai Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Full Stack Ai Engineer jobs? Cities in Minnesota with the most Full Stack Ai Engineer job openings:
Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Minnesota as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $131,996 per year, or $63.5 per hour.

Senior Full Stack AI Engineer

Tata Consultancy Service Limited

Minneapolis, MN • On-site

$100K - $120K/yr

Full-time

Posted 4 days ago

Job description

Senior Full Stack AI Engineer
Required Qualifications
• 8+ years of experience in software engineering, automation, or platform engineering roles.
• Proven hands-on experience implementing LLM based or agentic AI solutions in enterprise environments.
• Demonstrated expertise with Anthropic Cloud Code and advanced Claude services (including interpreter style workflows).
• Strong understanding of agent architectures, tool orchestration, and secure AI platform design.
• Experience working with investment, research, or Portfolio Management business users.
• Proficiency in Python and modern cloud native development patterns.
Required Qualifications
• Experience building AI platforms or shared AI services in financial services or regulated environments.
• Familiarity with portfolio management, investment research, or quantitative analytics workflows.
• Experience integrating AI solutions with enterprise data platforms and analytics stacks.
• Exposure to Responsible AI frameworks, model governance, and audit requirements.
Roles & Responsibilities
We are seeking a Senior AI Automation Engineer to mature and expand our enterprise AI Platform AgentCore by designing, building, and scaling new AI driven capabilities that directly support Portfolio Management and Research workflows. This role will serve as a hands on technical leader responsible for operationalizing Anthropic Cloud Code and advanced Claude services (including Claude Interpreter) across the clientdelivering secure, governed, and reusable AI components. The engineer will work closely with Portfolio Managers, Research Analysts, and Quant teams to translate high value investment use cases into production grade agentic solutions deployed on AgentCore.
AI (AgentCore) Platform Maturity
• Design agentic workflows and multi agent orchestration patterns using approved AgentCore frameworks and runtimes.
• Build AI capabilities that leverage:
• Tool calling
• Retrieval augmented generation (RAG)
• Structured data semantics
• Reusable prompt and skill
Value Realization & Platform Adoption
• Demonstrate measurable impact on research productivity, decision velocity, and analytical depth.
• Support adoption via reference implementations, documentation, and enablement materials.
• Provide architectural guidance to teams building on AgentCore to prevent fragmentation and shadow AI.Enterprise Platform Enablement
• Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).
• Esta blish reusable AI components, frameworks, and guardrails for product and engineering teams.
• Enable adoption through reference architectures, implementation patterns, and developer enablement.
Value Realization & Measurement
• Identify and quantify productivity, quality, and cycle time improvements driven by AI.
• Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.
• Support executive visibility into AI driven outcomes and maturity progress.
Salary Range- $100,000-$120,000 a year
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