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Ai Rag Jobs in Remote, OR (NOW HIRING)

Anytime AI

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Machine Learning Engineer

OR · Remote

$100K - $200K/yr

About Anytime AI At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff ... Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies. * Experience ...

Expion Health

AI Solutions Manager

Myrtle Point, OR · Remote

$130K - $150K/yr

Experience with RAG (retrieval-augmented generation), vector databases, or building AI tools that work with proprietary data * Familiarity with Microsoft 365 ecosystem and Power Platform Why Expion ...

Expion Health

AI Solutions Manager

OR · On-site +1

$130K - $150K/yr

Experience with RAG (retrieval-augmented generation), vector databases, or building AI tools that work with proprietary data * Familiarity with Microsoft 365 ecosystem and Power Platform Why Expion ...

Atos

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

Apps AI Architect 539988 Location: North America (Remote) Role Summary The Apps AI Architect will ... Hands-on exposure to LLM-based ITSM agents and RAG (Retrieval-Augmented Generation) frameworks.

Atos

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

Apps AI Architect 539988 Location: North America (Remote) Role Summary The Apps AI Architect will ... Hands-on exposure to LLM-based ITSM agents and RAG (Retrieval-Augmented Generation) frameworks.

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Ai Rag information

See Remote, OR salary details

$32K

$58.2K

$83.4K

How much do ai rag jobs pay per year?

As of May 30, 2026, the average yearly pay for ai rag in Remote, OR is $58,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $64,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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 are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 AI RAGs?

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 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 are popular job titles related to Ai Rag jobs in Remote, OR? For Ai Rag jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Remote, OR look for? The top searched job categories for Ai Rag jobs in Remote, OR are:
What cities near Remote, OR are hiring for Ai Rag jobs? Cities near Remote, OR with the most Ai Rag job openings:
Ai Rag jobs near you
Machine Learning Engineer

Machine Learning Engineer

Anytime AI

Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 28 days ago

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Job description

About Anytime AI

At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.

Position Overview

As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires robust expertise in machine learning R&D, particularly involving NLP (Natural Language Processing) and Large Language Models, to improve information extraction, information retrieval and search, document analysis and summarization, and generation.

Responsibilities

  • Design, develop, and deploy advanced AI algorithms to boost the functionality and efficacy of our legal AI applications.
  • Work closely with product teams to integrate AI technologies into solutions centered around user needs.
  • Enhance and streamline machine learning pipelines for superior performance and scalability.
  • Conduct thorough testing and validation to maintain the accuracy and reliability of algorithms.

Requirements

  • M.S. or higher in Computer Science, Machine Learning, AI, or related fields.
  • 3+ years of experience in Machine Learning R&D.
  • Proficiency in Machine Learning and NLP techniques and tools.
  • Demonstrated experience in developing real-world AI solutions or contributing to open-source applications using NLP.
  • Strong software development capabilities.
  • Strong analytical and problem-solving skills, adept at identifying and addressing bottlenecks for optimal performance under varying loads.

Preferred Skills

  • Extensive experience in building and managing production-level machine learning systems.
  • Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies.
  • Experience in developing search and retrieval algorithms.
  • Experience in training Large Language Models.
  • Web development experience or willingness to acquire the necessary skills to contribute to our web-based product offerings.
  • Excellent verbal and written communication skills, capable of articulating complex technical concepts to cross-functional teams and translating legal workflows described by these teams into technical solutions.

This Might Be for You If...

  • You thrive on proactivity and have a “get things done” mindset.
  • You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
  • You possess a strong passion for crafting innovative AI solutions that deeply engage users and meet critical needs.
  • AI/ML fascinates you, and while hands-on experience isn’t mandatory, an eagerness to delve into these fields is essential.
  • You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
  • You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive product innovation.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary, including potential equities. Base+ Bonus+ Employee Stock Option Plan.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team and gain multi-domain (Marketing, Business Intelligence, Product Management, Project Management, Generative AI, Gen AI for law) knowledge in one place.
  • Flexible work environment with opportunities for professional growth and development.
  • The chance to significantly impact the legal tech industry and help shape the future of AI in law.

How to Apply

If you’re passionate about technology and product in the AI and legal tech space and eager to make a significant impact in a high-growth startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven solutions.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Company Description

www.anytimeai.ai