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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 ...

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 ...

Thomson Reuters

Lead Software Engineer, AI

Eagan, MN · On-site

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

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

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 ...

US Bank

Lead AI Platform Engineer

Minneapolis, MN · On-site

$107K - $140K/yr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

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Rag information

What is a RAG?

RAG stands for Retrieval-Augmented Generation, a model architecture that combines information retrieval with generative AI. In this role, a RAG specialist or engineer works on designing, implementing, and optimizing systems that retrieve relevant data from large databases to provide more accurate and informed AI-generated responses. This position typically requires strong knowledge of natural language processing, information retrieval, and deep learning frameworks. RAG models are particularly useful in applications like customer support, search engines, and knowledge management systems.

What skills and qualifications are needed to thrive as a RAG engineer?

To thrive as a Retrieval-Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and software engineering, often with a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with vector databases, and knowledge of APIs for language models are typically required. Problem-solving, effective communication, and adaptability are crucial soft skills for collaborating with teams and navigating evolving technologies. These skills are important to successfully develop, deploy, and maintain RAG systems that enhance the performance and relevance of AI-driven applications.

What is the difference between Rag vs Data Analyst?

AspectRagData Analyst
Required CredentialsVaries, often no formal degreeBachelor's degree in data-related field, often certifications
Work EnvironmentFieldwork, on-site, or warehouse settingsOffice-based, computer-focused
Employer & Industry UsageConstruction, manufacturing, logisticsFinance, marketing, healthcare, tech
Common Search & ComparisonRag vs Data AnalystData Analyst roles and responsibilities

While Rags typically work in physical environments handling materials or equipment, Data Analysts focus on interpreting data to inform business decisions. Both roles require analytical skills but differ significantly in credentials, work setting, and industry applications.

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

RAG engineers often encounter challenges in ensuring the seamless integration of retrieval systems with large language models, such as maintaining low latency while fetching relevant documents and ensuring retrieved data is contextually appropriate for generation tasks. Balancing retrieval accuracy and computational efficiency is key, especially when dealing with large-scale or real-time applications. Effective collaboration with data engineers, NLP researchers, and product teams is essential to continuously refine retrieval pipelines and improve the relevance of generated outputs.
What are the most commonly searched types of Rag jobs in Minnesota? The most popular types of Rag jobs in Minnesota are:
What are popular job titles related to Rag jobs in Minnesota? For Rag jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Rag jobs in Minnesota look for? The top searched job categories for Rag jobs in Minnesota are:
Rag jobs near you
Infographic showing various Rag job openings in Minnesota as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Lead AI Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$145K - $249K/yr

Full-time

Retirement

Posted 8 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

186th of 887 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are looking for a Senior GenAI Developer with solid hands-on expertise in both open source and AWS Generative AI stacks. 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-hallucination, observable AI solutions at enterprise scale.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Design and build production-grade RAG pipelines using LangChain and LangGraph for stateful agentic workflows
  • Develop and maintain knowledge base chatbots with semantic search, source attribution, and multi-turn conversation memory
  • Implement advanced retrieval strategies - Hybrid Search (vector + keyword), HyDE, and Hierarchical / Small-to-Big chunking
  • Build and manage multi-agent orchestration architectures with Agentic RAG patterns (Corrective RAG, Self-RAG)
  • Integrate LLMs (Claude, GPT-4o, Llama 3, Mistral) via API and open-source hosting (Fireworks AI, Groq)
  • Design and operate vector databases - Pinecone, Weaviate, or PGVector - for semantic knowledge storage
  • Build AWS Bedrock-based solutions using Bedrock Agents, Knowledge Bases, and Guardrails
  • Set up evaluation frameworks using Ragas (faithfulness, relevance scoring) and maintain Golden Datasets for CI/AI testing
  • Implement LLM observability using LangSmith or Phoenix - trace calls, debug hallucinations, monitor costs
  • Apply PII redaction pipelines on ingested documents and enforce data security using Model Context Protocol (MCP)
  • Deploy AI backends using FastAPI and Docker with OpenTelemetry for system-wide monitoring
  • Collaborate with Solution Architects to produce HLDs, LLDs, and developer-facing documentation for AI components

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • 8+ years of overall software / AI engineering experience
  • 2+ years of direct hands-on experience building and deploying GenAI / LLM-based applications in production
  • Solid Python development skills - primary language for AI engineering work
  • Demonstrated portfolio or project experience with RAG pipelines, vector databases, and agentic architectures
  • Driver's License and access to reliable transportation

Preferred Qualifications:
  • AWS Certified AI Practitioner (AIF-C01) or Generative AI Developer (AIP-C01) certification
  • AWS Certified Cloud Practitioner or Developer Associate
  • AI/ML Specialty
  • Experience with Graph RAG for complex entity-relationship knowledge bases
  • Experience with Semantic Kernel as an alternative orchestration framework
  • Knowledge of Human-in-the-Loop systems - expert review/voting UI for AI answer correction
  • Familiarity with fine-tuning open-source LLMs (LoRA / QLoRA) on domain-specific datasets
  • Exposure to Amazon Connect integration with Bedrock Agents via Lex V2 for contact centre AI

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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