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Assistant Retrieval Augmented Generation Jobs in Tennessee

Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures. * Experience building vector embedding and vector search pipelines. * Strong cloud-native application ...

Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures. * Experience building vector embedding pipelines and vector search solutions. * Strong cloud-native ...

Oversee Retrieval-Augmented Generation (RAG) architectures, vector search, prompt engineering, memory augmentation, and evaluation pipelines. * Drive experimentation with Diffusion models, GANs, and ...

Design end-to-end retrieval-augmented generation (RAG) systems leveraging enterprise knowledge bases, policy documents, SOPs, and historical claims data. * Build autonomous and semi-autonomous agents ...

Design end-to-end retrieval-augmented generation (RAG) systems leveraging enterprise knowledge bases, policy documents, SOPs, and historical claims data. * Build autonomous and semi-autonomous agents ...

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Retrieval-Augmented Generation (RAG) pipelines * LLM model selection, configuration, and prompt tooling * Model fine-tuning and customization pipelines * Architect and govern AI agents capable of ...

AI and Data Science Engineer III

Nashville, TN · On-site +1

$110K - $132K/yr

... assistants, summarization, and policy question-and-answer solutions using secure endpoints, tool calling, and reusable prompt and context patterns * Implement retrieval-augmented generation patterns ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

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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.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Tennessee? The most popular types of Retrieval Augmented Generation jobs in Tennessee are:
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What cities in Tennessee are hiring for Assistant Retrieval Augmented Generation jobs? Cities in Tennessee with the most Assistant Retrieval Augmented Generation job openings:
Gen AI Developer

Gen AI Developer

CYNET SYSTEMS

Nashville, TN • On-site

$50/hr

Contractor

Posted 20 days ago

Be an early applicant


Job description

Job Overview:
 
Requirement/Must Have:
  • Strong production experience delivering Generative AI applications in enterprise or customer-facing environments.
  • Hands-on expertise with Google Cloud Platform Vertex AI and Gemini models.
  • Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
  • Experience building vector embedding and vector search pipelines.
  • Strong cloud-native application development experience.
  • Experience with serverless and container-based cloud solutions.
  • Strong understanding of AI application architecture and deployment.
  • Experience with DevOps, CI/CD, and MLOps practices.
  • Strong communication and collaboration skills.
  • Experience working in Agile software development environments.

Experience:

  • 8+ years of experience in software development or engineering roles.
  • Experience implementing enterprise-grade Generative AI applications in production environments.
  • Hands-on experience with Vertex AI Studio and GCP AI services.
  • Experience designing data grounding strategies for LLM-based applications.
  • Experience building pipelines for preparing, processing, and embedding data.
  • Experience with vector stores such as Vertex AI Vector Search.
  • Experience with DevOps tools such as GitHub and Azure DevOps.
  • Experience with CI/CD pipelines and MLOps implementation.
  • Experience with LangChain or Agentic AI frameworks preferred.
  • Experience with Model Context Protocol preferred.
  • Experience integrating AI solutions with CRM, ERP, eCommerce, EMR, or EHR platforms preferred.
  • Experience working with Agile methodologies and SDLC processes preferred.

Responsibilities:

  • Design, develop, and implement scalable Generative AI solutions on Google Cloud Platform.
  • Build and maintain Retrieval-Augmented Generation (RAG) systems for enterprise AI applications.
  • Design and implement vector embedding and vector search pipelines.
  • Develop data grounding strategies to improve response accuracy and contextual relevance.
  • Implement AI applications using Vertex AI, Gemini, and related GCP services.
  • Explore and implement Agentic AI concepts for autonomous AI workflows.
  • Integrate Model Context Protocol capabilities for enhanced interoperability with external tools and systems.
  • Collaborate with stakeholders, product owners, developers, and business teams to gather requirements and deliver AI solutions.
  • Participate in proof-of-concept and proof-of-technology initiatives for new AI capabilities.
  • Support Agile development practices and collaborate across engineering teams.
  • Maintain and enhance AI application performance, scalability, and reliability.
  • Contribute to CI/CD and MLOps processes for AI deployment and monitoring.
  • Document technical designs, implementation details, and AI workflows.
  • Adhere to organizational code of conduct and operational standards.

Should Have:

  • Growth mindset and willingness to learn emerging AI technologies and frameworks.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts clearly to technical and non-technical stakeholders.
  • Strong collaboration and teamwork abilities.
  • Ability to work independently in fast-paced enterprise environments.
  • Strong attention to detail and quality-focused mindset.

Skills:

  • Generative AI.
  • Vertex AI.
  • Gemini.
  • Retrieval-Augmented Generation (RAG).
  • Vector Embeddings.
  • Vector Search.
  • Google Cloud Platform (GCP).
  • Vertex AI Studio.
  • LangChain.
  • Agentic AI.
  • Model Context Protocol.
  • MLOps.
  • CI/CD.
  • GitHub.
  • Azure DevOps.
  • Cloud-Native Development.
  • Serverless Architecture.
  • Container-Based Solutions.
  • AI Application Development.
  • Machine Learning Pipelines.
  • API Integrations.
  • Agile Methodology.
  • DevOps.

Qualification and Education:

  • Bachelor’s degree in Computer Science or related field required.
  • Equivalent combination of education and relevant experience may be considered.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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