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Python Automation Developer Jobs in Tennessee (NOW HIRING)

Brooksource

UiPath Developer RPA

Nashville, TN · On-site

$45 - $60/hr

Leverage programming skills (e.g., Python, C#, VB.NET) to enhance automation capabilities and support broader software engineering needs * Participate in continuous improvement of RPA processes ...

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Python Automation Developer information

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How much do python automation developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python automation developer in Tennessee is $53.21, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $60.43 per hour, depending on experience, location, and employer.

What is the difference between Python Automation Developer vs QA Automation Engineer?

AspectPython Automation DeveloperQA Automation Engineer
Primary FocusDeveloping automation scripts and tools using Python for various applicationsDesigning and implementing automated tests to ensure software quality
Skills & CertificationsPython programming, scripting, automation frameworksTesting tools, scripting, Python knowledge often preferred
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing environments
Industry UsageTech companies, software firms, automation service providersSoftware companies, QA departments, testing service providers

While both roles involve Python scripting, the Python Automation Developer primarily creates automation solutions across various domains, whereas the QA Automation Engineer focuses on automating tests to improve software quality. The roles often overlap but differ in their core objectives and work environments.

Are Python Automation Developers still in demand?

Python Automation Developers are currently in high demand due to the increasing need for automation in IT, data processing, and software testing. Skills in scripting, frameworks like Selenium, and familiarity with cloud environments enhance job prospects in this field.

Is Python Automation Developer automation a good career?

A Python Automation Developer role is a strong career choice for those interested in software development, scripting, and process improvement. It involves skills in Python programming, automation tools, and understanding of workflows, with demand growing across industries such as IT, finance, and manufacturing. The role offers opportunities for continuous learning and specialization in automation frameworks and tools.

What are popular job titles related to Python Automation Developer jobs in Tennessee?

For Python Automation Developer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Python Automation Developer jobs in Tennessee look for?

The top searched job categories for Python Automation Developer jobs in Tennessee are:

Python Automation Developer jobs near you
Infographic showing various Python Automation Developer job openings in Tennessee as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $120,105 per year, or $57.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Murfreesboro, TN • Remote

Full-time

Re-posted 18 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