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Ai Rag Jobs in Minnesota (NOW HIRING)

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

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 ...

Wells Fargo

AI Solutions Lead

Minneapolis, MN · Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

Hands-on delivery of AI, machine learning, generative AI, RAG, automation, or agentic solutions - building, not only advising (Experience as a Forward Deployed Engineer, Customer Engineer, or ...

UnitedHealth Group

Lead AI Engineer - Remote

Eden Prairie, MN · On-site +1

$145K - $249K/yr

  • Retirement

You will design and build production-ready RAG pipelines, agentic AI workflows, and knowledge base chatbots. You will work closely with architects and business stakeholders to deliver accurate, low ...

UnitedHealth Group

Lead AI Engineer - Remote

Eden Prairie, MN · On-site +1

$145K - $249K/yr

  • Retirement

You will design and build production-ready RAG pipelines, agentic AI workflows, and knowledge base chatbots. You will work closely with architects and business stakeholders to deliver accurate, low ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

  • Retirement

Build Multi Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases * Leverage AWS Bedrock and Google Vertex AI for scalable and production-grade GenAI ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

  • Retirement

Build Multi Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases * Leverage AWS Bedrock and Google Vertex AI for scalable and production-grade GenAI ...

Jobtailor

Principal Engineer - Secure AI

Brooklyn Park, MN · On-site

$150 - $230/hr

LLM Security expertise (RAG, MCP, Input validation, Sandboxing etc.) * In-depth understanding of OWASP top 10 for Large Language Model Applications * Expertise in AI and ML * Understanding of prompt ...

Tata Consultancy Service Limited

AI Architect

Minneapolis, MN · On-site

$160K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... RAG, vector search, prompt engineering, evaluation, orchestration, and guardrails. • AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain / Semantic Kernel or ...

Thomson Reuters

Lead Software Engineer, AI

Eagan, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

THOMSON REUTERS

Lead Software Engineer, AI

Eagan, MN · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Refinitiv

Lead Software Engineer, AI

Eagan, MN · On-site

$127.40 - $236.60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Eden Prairie, MN · Remote

$104K - $137K/yr

  • Retirement

Design, develop, and deploy production-grade AI-powered solutions-spanning classical ML, Generative AI (LLMs, RAG, Graph RAG), and multi-agent orchestration frameworks-to address complex business ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

  • Retirement

Design, develop, and deploy production-grade AI-powered solutions-spanning classical ML, Generative AI (LLMs, RAG, Graph RAG), and multi-agent orchestration frameworks-to address complex business ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

  • Retirement

Design, develop, and deploy production-grade AI-powered solutions-spanning classical ML, Generative AI (LLMs, RAG, Graph RAG), and multi-agent orchestration frameworks-to address complex business ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Minnesota? For Ai Rag jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Minnesota look for? The top searched job categories for Ai Rag jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Rag jobs? Cities in Minnesota with the most Ai Rag job openings:
Ai Rag jobs near you

AI/ML Engineer

Digital Links Inc

Minneapolis, MN • On-site

Contractor

Re-posted 20 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