ZipRecruiter

Log In

1

Ai Rag Jobs in Lexington, KY (NOW HIRING)

Prolim Global

AI Enablement Trainer

Georgetown, KY · On-site

... with RAG, agents, LLM evaluation, orchestration patterns, APIs, cloud platforms, or enterprise AI architectures. · Experience creating technical labs, sample repositories, code walkthroughs ...

Galls

Data Scientist

Lexington, KY · On-site

Design and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniques * Build AI agents and autonomous workflows capable of supporting a ...

Galls

Data Scientist

Lexington, KY

Design and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniques * Build AI agents and autonomous workflows capable of supporting a ...

Humana

Lead, Offensive Security

Frankfort, KY · On-site

Test AI systems as targets: lead adversarial assessments of production AI-enabled systems, prompt injection (direct/indirect), agent/tool abuse, RAG/training-data poisoning, sensitive-data exposure ...

All JobsAi Rag JobsAi Rag Jobs in Lexington, KY

Ai Rag information

See Lexington, KY salary details

$31.8K

$57.9K

$83K

How much do ai rag jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai rag in Lexington, KY is $57,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $64,600.00 per year, depending on experience, location, and employer.

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 job categories do people searching Ai Rag jobs in Lexington, KY look for? The top searched job categories for Ai Rag jobs in Lexington, KY are:
Ai Rag jobs near you

Strategic Data & Licensing Partnerships

Mistral-Ai

Paris, KY • On-site

$180 - $240/hr

Other

Medical, Retirement

Posted 16 days ago

Job description

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

As a Strategic Data & Licensing Partnerships Negotiator on the Strategic Data & Licensing Partnerships team, you will drive the acquisition of premium content and negotiate complex agreements to secure high-value data and content for AI training, RAG, and distribution. Your work will enable Mistral AI to access quality, relevant sources while building long-term relationships with publishers, universities, research institutions, and data providers.

You will collaborate closely with cross-functional teams to align content sourcing with Mistral AI’s strategic interests, ensuring innovative and ethical use of data. This role is for a results-driven negotiator who thrives in high-stakes deal-making and understands the intersection of AI, academic content, and ethical data practices.

What You Will Do

  • Build and manage a pipeline of high-quality content (STEM, academic, robotics, multimedia) while vetting providers for legal and business compliance.

  • Negotiate complex, multi-pronged agreements (licensing, revenue-sharing, co-development) with publishers, universities, and research institutions.

  • Develop long-term partnerships that promote fair compensation and sustainability for content creators and owners.

  • Collaborate with internal teams (Science, Product, Go To Market) to align procurement with their objectives and evaluate "make vs. buy" options.

  • Provide regular reports and analytics on procurement activities to support data-driven decision-making.

  • Design programs that foster ethical and scalable content sourcing, balancing internal development with external licensing.

What We're Looking For

  • Proven track record negotiating and closing complex deals ($10M+), including licensing, revenue-sharing, or co-development agreements.

  • Deep understanding of AI training data ecosystems and the ability to translate technical needs into business terms.

  • Legal acumen in data acquisition and content licensing, including knowledge of global copyright laws.

  • Strong STEM background (degree in Science, Technology, Engineering, Mathematics, or related field) and passion for academic content.

  • Excellent communication and stakeholder management skills, with experience negotiating with C-level stakeholders.

  • Business acumen in market analysis and financial modeling (e.g., DCF analysis).

  • Fluency in English and French; additional languages (e.g., German) are a plus.

  • Existing network in publishing, academic, or research communities or experience with AI training data (pretraining, RAG, synthetic data).

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

#J-18808-Ljbffr

Apply