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Assistant Retrieval Augmented Generation Jobs in Tennessee

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

... copilots, assistants, and AI workflows that query, interpret, and act on structured and ... Retrieval-Augmented Generation (RAG) patterns using enterprise data sources. • Design prompt ...

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...

... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...

AI Architect

Nashville, TN · Hybrid

$73K - $174K/yr

Tool use, Multi-step reasoning, Agent orchestration, RAG (Retrieval-Augmented Generation), Multimodal AI, State management. * Develop reliable AI-driven enterprise workflows while managing ...

Systems Engineer - Cloud Ops

Memphis, TN · On-site

$54.25 - $72.50/hr

Build and maintain infrastructure for Retrieval-Augmented Generation (RAG) pipelines and vector ... Familiarity with AI coding assistants and their integration into development workflows * Interest ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Retrieval-Augmented Generation (RAG) where appropriate * Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent * Formulate and solve optimization ...

Retrieval-Augmented Generation (RAG) where appropriate * Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent * Formulate and solve optimization ...

Showing results 21-40

Assistant Retrieval Augmented Generation information

What is the difference between Assistant Retrieval Augmented Generation vs Data Analyst?

AspectAssistant Retrieval Augmented GenerationData Analyst
Required CredentialsKnowledge of AI, NLP, and retrieval systemsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, natural language processingData analysis, reporting, decision support

Assistant Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, often requiring expertise in AI and NLP. Data Analysts interpret data to generate insights, primarily using statistical tools. While both roles involve working with data, Assistant Retrieval Augmented Generation is centered on AI model development, whereas Data Analysts focus on data interpretation and reporting.

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Infographic showing various Assistant Retrieval Augmented Generation job openings in Tennessee as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution.

Cloud Engineer- Data/AI Focused

Innovative Solutions

Nashville, TN • On-site

$110K - $132K/yr

Full-time

Re-posted yesterday


Job description

Job Summary:
Innovative Solutions is a technology company focusing on Data and AI solutions. As a Data & AI Engineer, you will build and deploy modern data pipelines and generative AI solutions on AWS while working directly with clients to deliver secure, scalable, and production-ready solutions.
Responsibilities:
• Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
• Creating and maintaining data extraction, transformation, and loading processes
• Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
• Implementing data lakes using S3 and related AWS services
• Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
• Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
• Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
• Writing and testing SQL queries and stored procedures
• Documenting technical solutions and providing knowledge transfer to customers
• Supporting the implementation of data governance and security controls
• Troubleshooting and resolving issues with data pipelines and AI services
• Participating in code reviews and implementing feedback
• Assisting with proof-of-concept implementations for customer engagements
Qualifications:
Required:
• 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
• 2+ years of hands-on AWS experience with production deployments
• 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
• Proven track record delivering production AI applications from concept to deployment
• Strong understanding of software engineering best practices (version control, testing, code review, documentation)
• Experience working in agile/scrum environments with distributed teams
• Excellent problem-solving skills and ability to work independently with minimal supervision
• Strong written and verbal communication skills for client-facing interactions
Preferred:
• Technical familiarity with AWS data and AI/ML services and modern data engineering practices
• Hands-on experience with ETL/ELT processes and data transformation
• Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
• Ability to write and optimize SQL queries across various database platforms
• Knowledge of data modeling concepts and best practices
• Strong analytical and problem-solving skills
• Eagerness to learn new technologies and keep up with cloud and AI innovations
• Excellent communication skills with the ability to explain technical concepts clearly
• Attention to detail and commitment to solution quality
• Collaborative mindset with strong teamwork capabilities
• Experience or interest in automation and infrastructure as code
Company:
Innovative Solutions is an IT company that specializes in software development, mobile app development, and game development. Founded in 2009, the company is headquartered in Karachi, PAK, with a team of 51-200 employees. The company is currently Growth Stage.