Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation. Major Responsibilities or Assigned ...
Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation. Major Responsibilities or Assigned ...
... retrieval-augmented generation pipelines using enterprise data sources • Build and orchestrate agent-based workflows to automate targeted tasks • Integrate LLM APIs such as Anthropic Claude and ...
... retrieval-augmented generation pipelines using enterprise data sources • Build and orchestrate agent-based workflows to automate targeted tasks • Integrate LLM APIs such as Anthropic Claude and ...
Sr. Data Engineer
Draper, UT · Hybrid
$107K - $128K/yr
Design and manage vector databases and embedding pipelines to support semantic search and Retrieval-Augmented Generation (RAG). * Build and optimize retrieval pipelines including hybrid search ...
Sr. Data Engineer
Draper, UT · Hybrid
$107K - $128K/yr
Design and manage vector databases and embedding pipelines to support semantic search and Retrieval-Augmented Generation (RAG). * Build and optimize retrieval pipelines including hybrid search ...
Staff Application Security Engineer - AI & Agentic Systems
Salt Lake City, UT · On-site
$107 - $284/hr
Review and provide guidance on architectures utilizing large language models, retrieval augmented generation pipelines, AI agents, and AI-powered workflows. * Define and recommend identity ...
Staff Application Security Engineer - AI & Agentic Systems
Salt Lake City, UT · On-site
$107 - $284/hr
Review and provide guidance on architectures utilizing large language models, retrieval augmented generation pipelines, AI agents, and AI-powered workflows. * Define and recommend identity ...
Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments. * Build ...
Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments. * Build ...
AI Solutions Architect
Salt Lake City, UT · On-site +1
$61 - $80.25/hr
Build and implement retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-agent systems using frameworks such as LangChain and LangGraph. * Architect data pipelines and ...
AI Solutions Architect
Salt Lake City, UT · On-site +1
$61 - $80.25/hr
Build and implement retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-agent systems using frameworks such as LangChain and LangGraph. * Architect data pipelines and ...
Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...
Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...
Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...
Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...
Senior Manager, Software Engineering - AI
Lehi, UT · On-site +1
Familiarity with retrieval augmented generation (RAG) pipelines and how search quality feeds downstream LLM applications. * Background in information retrieval, natural language processing
Senior Manager, Software Engineering - AI
Lehi, UT · On-site +1
Familiarity with retrieval augmented generation (RAG) pipelines and how search quality feeds downstream LLM applications. * Background in information retrieval, natural language processing
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Product Manager, AI
Salt Lake City, UT · On-site
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Product Manager, AI
Salt Lake City, UT · On-site
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Senior Engineer - Machine Learning
Midvale, UT · Hybrid
$98K - $135K/yr
Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)
Senior Engineer - Machine Learning
Midvale, UT · Hybrid
$98K - $135K/yr
Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)
Product Manager, AI
Salt Lake City, UT · On-site +1
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Product Manager, AI
Salt Lake City, UT · On-site +1
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Sr. Product Manager, AI
Salt Lake City, UT · On-site
$140 - $190/hr
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Sr. Product Manager, AI
Salt Lake City, UT · On-site
$140 - $190/hr
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Manager of Product Development | AI Platform
Lehi, UT · Hybrid
$107K - $134K/yr
Knowledge of modern artificial intelligence frameworks including retrieval-augmented generation, vector databases, orchestration frameworks, and observability tools * Familiarity with emerging ...
Manager of Product Development | AI Platform
Lehi, UT · Hybrid
$107K - $134K/yr
Knowledge of modern artificial intelligence frameworks including retrieval-augmented generation, vector databases, orchestration frameworks, and observability tools * Familiarity with emerging ...
Senior Engineer - Machine Learning
Midvale, UT · On-site
$98K - $135K/yr
Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)
Senior Engineer - Machine Learning
Midvale, UT · On-site
$98K - $135K/yr
Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)
... retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. • Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer ...
... retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. • Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer ...
Senior Engineer - Machine Learning
Midvale, UT · On-site
$140 - $210/hr
Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)
Senior Engineer - Machine Learning
Midvale, UT · On-site
$140 - $210/hr
Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)
Product Manager - AI
Midvale, UT · Hybrid
Working knowledge of generative AI application patterns and secure enterprise integration, including prompt engineering, retrieval-augmented generation, tool calling, workflow orchestration, model ...
Product Manager - AI
Midvale, UT · Hybrid
Working knowledge of generative AI application patterns and secure enterprise integration, including prompt engineering, retrieval-augmented generation, tool calling, workflow orchestration, model ...
Senior Backend Engineer - AI Platform
Salt Lake City, UT · On-site +1
$118K - $156K/yr
Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...
Senior Backend Engineer - AI Platform
Salt Lake City, UT · On-site +1
$118K - $156K/yr
Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...
Retrieval Augmented Generation information
What is a retrieval augmented generation?
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
What does a retrieval augmented generation engineer do?
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
What skills and qualifications are needed for retrieval augmented generation?
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Utah?
The most popular types of Retrieval Augmented Generation jobs in Utah are:
What are popular job titles related to Retrieval Augmented Generation jobs in Utah?
For Retrieval Augmented Generation jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Utah look for?
The top searched job categories for Retrieval Augmented Generation jobs in Utah are:
Quality Assurance Engineer (Remote)
Salt Lake City, UT • On-site, Remote
Full-time
Medical, Dental, Vision, Retirement, PTO
This job post has expired 1 day ago. Applications are no longer accepted.
Job description
Description
Who We Are - Motivated by Purpose. Powered by Clinical Expertise.
Founded in 1983, we're a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
Excellence starts with our people.
WE OFFER
POSITION OVERVIEW
Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release-readiness of software products built on modern technologies, including cloud-native applications hosted on Microsoft Azure and AI/ML-enabled features.
Roles:
Major Responsibilities or Assigned Duties:
Requirements
Skills and Experience:
Education:
Work Environment:
Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).
Diversity Statement:
Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Drug-Free Workplace:
This company is a drug-free workplace. All candidates are required to pass a Background Screen before beginning employment. All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment. Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.
California Consumer Privacy Act (CCPA) Information (California Residents Only):
Who We Are - Motivated by Purpose. Powered by Clinical Expertise.
Founded in 1983, we're a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
Excellence starts with our people.
WE OFFER
- A competitive compensation package
- Benefits include healthcare, vision, and dental insurance
- A generous 401(k) match
- Paid vacation, PTO, and holidays
- Growth and training opportunities
- An award-winning remote work environment
POSITION OVERVIEW
Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release-readiness of software products built on modern technologies, including cloud-native applications hosted on Microsoft Azure and AI/ML-enabled features.
Roles:
- Primary role is testing software applications created or updated by the Application Development team.
- Conduct structured peer and code reviews of test artifacts to ensure adherence to standards and best practices.
- Design, create, and maintain realistic and compliant test data sets, including synthetic data for healthcare (PHI-safe) scenarios.
- Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation.
Major Responsibilities or Assigned Duties:
- Participate in the test management lifecycle, including test planning, execution tracking, defect management and reporting.
- Provide input on release readiness criteria to Engineering and Product stakeholders.
- Maintain the regression suite after every release.
- Develop and maintain automated test suites in Python (e.g., pytest) and JavaScript/Node.js, integrated into CI/CD pipelines.
- Write and review complex SQL queries, joins, and aggregations to validate data accuracy, completeness, and reconciliation across systems.
- Validate data flows across source systems, transformation layers, and reporting/consumption layers.
- Ensure test data supports both functional automation and AI/ML / RAG evaluation needs.
- Design and execute test strategies for AI/ML and Retrieval-Augmented Generation (RAG) pipelines and AI-assisted features, including retrieval accuracy, grounding, hallucination, output quality, bias/safety, and drift (regression) checks.
- Build and maintain automated evaluation harnesses and datasets for AI/ML features, including prompt/response scoring and metric tracking.
- Validate applications, APIs, and test environments deployed on on-prem data center, Microsoft Azure, including Azure-hosted services, data stores, and CI/CD pipelines.
- Read and interpret React / Node.js / Python / ColdFusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk.
- Write detailed test cases and test plans that trace directly to code paths, business rules, and acceptance criteria.
- Partner with developers during code review to flag insufficient test coverage, untested branches, and high-risk changes before merge.
- Perform post-deployment validation to confirm application, API, and AI feature stability in production.
- Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering.
Requirements
Skills and Experience:
- 5+ years of experience in automated software testing
- 5+ years of experience in manual software testing
- 5+ years of experience in component-level testing
- 5+ years of experience in end-to-end testing
- Proficiency in SQL
- Proficiency in React
- Proficiency in Node.js
- Proficiency in Python source code in GitLab
- Proficiency in testing Artificial Intelligence (AI)
- Proficiency in testing Machine Learning (ML)
- Proficiency in evaluating Artificial Intelligence (AI)
- Proficiency in evaluating Machine Learning (ML)
- Proficiency in testing Retrieval-Augmented Generation (RAG)
- Proficiency in testing generative AI features
- Proficiency in testing workloads on Microsoft Azure
Education:
- High School Diploma required
- Bachelor's degree (Advantage)
Work Environment:
Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).
Diversity Statement:
Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Drug-Free Workplace:
This company is a drug-free workplace. All candidates are required to pass a Background Screen before beginning employment. All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment. Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.
California Consumer Privacy Act (CCPA) Information (California Residents Only):
- Sensitive Personal Info: MRIoA may collect sensitive personal info such as real name, nickname or alias, postal address, telephone number, email address, Social Security number, signature, online identifier, Internet Protocol address, driver's license number, or state identification card number, and passport number.
- Data Access and Correction: Applicants can access their data and request corrections. For questions and/or requests to edit, delete, or correct data, please email the Medical Review Institute at HR@mrioa.com.