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Rag Engineer Jobs in Minnesota (NOW HIRING)

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion ... This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and ...

As a Lead Software Engineer - AI, you will play a lead role in full-stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways, APIs ...

As a Lead Software Engineer - AI, you will play a lead role in full-stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways, APIs ...

As a Lead Software Engineer - AI, you will play a lead role in full-stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways, APIs ...

Preferred: ⭐ GenAI, LLMs, RAG, AI Agents ⭐ Data Engineering, Analytics & BI ⭐ Consulting, Pre-Sales, Solution Architecture ⭐ Healthcare, BFSI, Retail, Manufacturing, Telecom, or Technology ...

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Build Multi Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines for enterprise use ... Mentor junior engineers and contribute to internal knowledge-sharing initiatives You'll be rewarded ...

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Build Multi Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines for enterprise use ... Mentor junior engineers and contribute to internal knowledge-sharing initiatives You'll be rewarded ...

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Showing results 1-20

Rag Engineer information

See Minnesota salary details

$58.3K

$88.6K

$150.3K

How much do rag engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for rag engineer in Minnesota is $88,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $102,800.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Minnesota? For Rag Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Minnesota look for? The top searched job categories for Rag Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Rag Engineer jobs? Cities in Minnesota with the most Rag Engineer job openings:
Infographic showing various Rag Engineer job openings in Minnesota as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $88,648 per year, or $42.6 per hour.

AI/ML Engineer

Digital Links Inc

Minneapolis, MN • On-site

Contractor

Re-posted 8 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