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Apprentice Generative Ai Engineer Jobs in Tennessee

Brooksource

AI Engineer (Intermediate)

Franklin, TN · On-site

$65 - $80/hr

Generative AI Engineer Location: Remote Duration: 6-Month Contract Overview Our client is seeking a Generative AI Engineer to support the development and implementation of enterprise AI initiatives.

Brooksource

Sr. AI Engineer

Franklin, TN · On-site

$120 - $130/hr

Senior Generative AI Engineer Location: Remote Duration: 6-Month Contract Overview Our client is seeking a Senior Generative AI Engineer to lead the evaluation, design, and implementation of ...

Pwc

AI Engineer

Nashville, TN · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Cyod

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

... Engineering Location Nashville, TN area preferred Insight at a Glance * 14,000+ engaged teammates ... generative AI, and agentic systems, but many face a critical challenge: moving beyond demos and ...

Insight Enterprises

Principal AI Engineer

Nashville, TN · On-site

$150 - $210/hr

... generative AI, and agentic systems, but many face a critical challenge: moving beyond demos and ... We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud ...

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases * Partner with engineering teams to develop technology infrastructure * Optimize ...

Tror

GenAI Engineer - Agentic AI

Nashville, TN · On-site

Generative AI / Agentic AI * LangGraph * Claude Agents SDK * NVIDIA NemoClaw * Google ADK * Python * AWS & Google Cloud Platform Cloud * Microservices & API Development * Excellent communication and ...

Relativity

Software Engineer

Nashville, TN · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

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Apprentice Generative Ai Engineer information

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

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The most popular types of Generative Ai Engineer jobs in Tennessee are:

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Apprentice Generative Ai Engineer jobs near you

AI Engineer (Intermediate)

Brooksource

Franklin, TN • On-site

$65 - $80/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Generative AI Engineer
Location: Remote
Duration: 6-Month Contract
Overview
Our client is seeking a Generative AI Engineer to support the development and implementation of enterprise AI initiatives. Working alongside senior AI leadership, this individual will help build, integrate, and deploy Generative AI solutions that improve business processes and unlock value from enterprise data.
This role is ideal for an engineer with a strong foundation in AI, machine learning, or data science who enjoys hands-on development and collaborating with cross-functional teams. The successful candidate will work closely with architects, data engineers, and business stakeholders to turn AI concepts into production-ready solutions.
Responsibilities
  • Develop and implement Generative AI solutions using modern AI platforms and cloud technologies.
  • Build and optimize prompts, AI workflows, and Retrieval-Augmented Generation (RAG) applications.
  • Integrate AI solutions with enterprise data platforms including Snowflake, Microsoft Fabric, and cloud-based data services.
  • Collaborate with senior AI engineers and architects to implement scalable AI solutions.
  • Develop APIs, pipelines, and automation that enable AI-powered applications.
  • Build proof-of-concepts and assist with production deployment of AI capabilities.
  • Test, troubleshoot, and optimize AI models and applications for performance and reliability.
  • Work with data engineering teams to prepare and integrate structured and unstructured data for AI consumption.
  • Document technical solutions and contribute to AI development standards and best practices.
  • Stay current with emerging AI technologies and recommend improvements to existing solutions.

Required Qualifications
  • 3+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.
  • Hands-on experience developing Generative AI applications or machine learning solutions.
  • Experience working with Large Language Models (LLMs), prompt engineering, and AI APIs.
  • Experience building AI applications using Python or similar programming languages.
  • Familiarity with cloud platforms including Microsoft Azure and AWS.
  • Experience working with:
  • Microsoft AI ecosystem (Azure AI, Azure OpenAI, Microsoft Fabric, Microsoft Copilot, etc.)
  • Snowflake
  • Understanding of REST APIs, data integration, and cloud-native application development.
  • Strong problem-solving skills and the ability to work in a collaborative Agile environment.

Preferred Qualifications
  • Experience with Retrieval-Augmented Generation (RAG), vector databases, or semantic search.
  • Experience with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks.
  • Familiarity with MLOps, CI/CD, and deploying AI solutions into production.
  • Exposure to AI governance, responsible AI, and enterprise security practices.
  • Experience with Microsoft Fabric
  • Experience with Curo or similar enterprise data platform

Technology Stack
  • Microsoft Azure & Microsoft AI Suite
  • AWS
  • Snowflake
  • Microsoft Fabric
  • Curo
  • Python
  • REST APIs
  • Large Language Models (OpenAI, Anthropic, Gemini, etc.)
  • Prompt Engineering
  • RAG
  • Git & CI/CD

Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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