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Ai Rag Jobs in Tennessee (NOW HIRING)

Experience with Generative AI, LLMs, RAG, or Agentic AI Exposure to Responsible AI frameworks and governance models * Develop reusable ML components, pipelines, and APIs for production use Validate ...

AI/ML Engineer Category: Software Development/ Engineering Main location: United States, Tennessee ... RAG patterns; vector databases. o Web & APIs: HTML/CSS/JS; React or Angular; Node.js/Python/Java ...

AI/ML Engineer Category: Software Development/ Engineering Main location: United States, Tennessee ... RAG patterns; vector databases. o Web & APIs: HTML/CSS/JS; React or Angular; Node.js/Python/Java ...

This role will focus on practical applications of AI, including Retrieval-Augmented Generation (RAG), the design of sophisticated grounding data structures, and the construction of robust pipelines ...

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

AI Developer

Memphis, TN · On-site +1

Orchestrated Retrieval-Augmented Generation (RAG) systems, including document chunking, embedding ... AI model performance and reliability. Proven ability to design end-to-end hybrid search and ...

We are seeking AI Researchers who are excited to explore how large-scale, real-world signals can be ... You will focus on building and improving learning systems for agents, including methods for RAG ...

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms ...

Experience in RAG pipelines for LLM-based applications and embedding models. * This position is suitable for an AI expert with extensive experience in data analysis, predictive modeling, and machine ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

AI Engineer Senior Consultant

Nashville, TN · Hybrid

$100K - $138K/yr

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

You will be responsible for the "Ops" of AI: ensuring that LLM applications, RAG pipelines, and traditional ML models are deployable, observable, and scalable in a multi-cloud environment. Key ...

AI Data Engineer - Senior Consultant

Nashville, TN · Hybrid

$100K - $138K/yr

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

AI Data Engineer - Senior Consultant

Memphis, TN · Hybrid

$101K - $139K/yr

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

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Ai Rag information

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 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 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 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 popular job titles related to Ai Rag jobs in Tennessee? For Ai Rag jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Tennessee look for? The top searched job categories for Ai Rag jobs in Tennessee are:
What cities in Tennessee are hiring for Ai Rag jobs? Cities in Tennessee with the most Ai Rag job openings:
AI/ML engineer

Other

Posted 2 days ago


Job description

AI/ML Engineer

Location: Dallas, TX Preferred, Memphis, TN is acceptable- 100% Onsite- Duration: 6-12 months

Experience: Min. 10+ Years

Required: AI/ML engineer with very strong communication skill having hands-on experience in MLOps Pipeline and able to bridge a gap between Software engineering team [FAST API] and Data Scientist

Competencies:
  • AI and Automation
  • Project Development
Role Description:
  • 3 years of experience in AIML development as an AIML Engineer
  • Translate business requirements into AIML solutions with hands on experience delivering AI solutions in enterprise environments
  • Experience with MLDL frameworks
  • Strong proficiency in Python Design, build, train, and optimize machine learning and deep learning models Implement AI solutions using Python and industry standard ML frameworks
  • Experience with Generative AI, LLMs, RAG, or Agentic AI Exposure to Responsible AI frameworks and governance models
  • Develop reusable ML components, pipelines, and APIs for production use Validate and fine tune models to meet accuracy, performance, and scalability requirements
  • Deploy models into production environments using CICD pipelines
  • Domain experience - RetailTTH Experience working in regulated or large scale enterprise programs

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.


Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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