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Remote Ai Prompt Engineer Jobs in Tennessee (NOW HIRING)

NxT Level

Vice President of AI

Nashville, TN · On-site +1

Flexible (Hybrid/Remote Options Available) | Industry: Financial Services / Technology / Enterprise ... Strong grasp of prompt engineering, LLM integration, AI governance, and data infrastructure

EnableComp

Principal Engineer (REMOTE)

Franklin, TN · Remote

Architect and build a scalable Agentic AI framework specifically for RCM workflows. * Design ... Expertise in prompt engineering for specialized domains. * Strong software architecture skills ...

EnableComp

Principal Engineer (REMOTE)

Franklin, TN · On-site +1

Architect and build a scalable Agentic AI framework specifically for RCM workflows. * Design ... Expertise in prompt engineering for specialized domains. * Strong software architecture skills ...

Mwe

Applied AI Solutions Analyst

Nashville, TN · On-site +1

$93K - $169K/yr

... prompt engineering skill; proficiency with at least one leading AI foundation platform - API ... Remote-first, collaborative team that ships fast and celebrates impact - Career-defining work at ...

Crowe LLP

Senior AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Prompt engineering and instruction hierarchies * Context window and context management * Model ...

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Remote Ai Prompt Engineer information

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$23

$48

$69

How much do remote ai prompt engineer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for remote ai prompt engineer in Tennessee is $48.68, according to ZipRecruiter salary data. Most workers in this role earn between $39.28 and $56.49 per hour, depending on experience, location, and employer.

What is a Remote AI Prompt Engineer job?

A Remote AI Prompt Engineer designs, refines, and optimizes prompts to improve AI-generated responses in various applications, such as chatbots, content generation, and automation tools. They work remotely to test AI models, analyze outputs, and develop strategies to enhance AI performance. This role requires strong language skills, creativity, and an understanding of AI model behavior. Their work helps ensure AI systems generate accurate, relevant, and high-quality responses.

What are the key skills and qualifications needed to thrive in the Remote Ai Prompt Engineer position, and why are they important?

To thrive as a Remote AI Prompt Engineer, you should have a strong grasp of natural language processing, prompt engineering techniques, and a background in computer science or related fields. Familiarity with AI platforms (such as OpenAI's GPT or similar LLMs), version control systems, and experience with relevant programming languages like Python are highly valuable, and certifications in AI or machine learning are a plus. Exceptional analytical thinking, clear written communication, creativity, and the ability to work independently are key soft skills for this role. These capabilities enable prompt engineers to develop effective prompts, collaborate remotely, and drive high-quality AI-driven outcomes.

What does a typical day look like for a Remote AI Prompt Engineer?

A typical day for a Remote AI Prompt Engineer involves designing, testing, and refining prompts for various AI models to improve their outputs based on project goals. You may collaborate with product managers, data scientists, and software engineers through digital communication tools to align prompt strategies with business needs. Reviewing model responses, analyzing results, and documenting prompt performance are regular tasks. Additionally, you may participate in virtual team meetings and training sessions to stay updated on new AI developments. This role offers a diverse mix of technical problem-solving and creative experimentation within a flexible remote work environment.

What are the most commonly searched types of Ai Prompt Engineer jobs in Tennessee? The most popular types of Ai Prompt Engineer jobs in Tennessee are:
What are popular job titles related to Remote Ai Prompt Engineer jobs in Tennessee? For Remote Ai Prompt Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Ai Prompt Engineer jobs in Tennessee look for? The top searched job categories for Remote Ai Prompt Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Ai Prompt Engineer jobs? Cities in Tennessee with the most Remote Ai Prompt Engineer job openings:
Remote Ai Prompt Engineer jobs near you
Infographic showing various Remote Ai Prompt Engineer job openings in Tennessee as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,247 per year, or $48.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Nashville, TN • Remote

Full-time

Re-posted 12 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply