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Python Ai Jobs in Tennessee (NOW HIRING)

Accenture

Python Developer with Veeva Vault

Nashville, TN · Hybrid

$70.35K - $196K/yr

... Gen AI solutions, and tech expertise from around the world. For our people, it brings an ... A Python Developer with Pharma R&D Clinical Systems (Veeva Vault) experience The Work: The Veeva ...

Outlier AI

AI Workflow Engineer (Remote)

Memphis, TN · Remote

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as ... Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and ...

Outlier AI

OpenClaw AI Engineer (Remote)

Memphis, TN · Remote

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as ... Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and ...

CTI

AI Developer

Memphis, TN · On-site +1

Mastery in Python, including experience with modern practices in structuring, testing, and maintaining codebases. Orchestrated Retrieval-Augmented Generation (RAG) systems, including document ...

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How much do python ai jobs pay per hour?

As of May 30, 2026, the average hourly pay for python ai 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 a Python AI job?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

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

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

What are the typical daily responsibilities of a Python AI professional?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.
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Python Ai jobs near you
Infographic showing various Python Ai job openings in Tennessee as of May 2026, with employment types broken down into 72% Full Time, 24% Part Time, 3% Contract, and 1% Nights. Highlights an 64% Physical, 2% Hybrid, and 34% Remote job distribution, with an average salary of $110,668 per year, or $53.2 per hour.
AI Developer II

AI Developer II

Smith & Wesson Brands, Inc.

Maryville, TN

Full-time

Posted 19 days ago

Job description

Note: Onsite/Non-Remote in Maryville, TN. To be considered you must live in a commutable distance to Maryville, TN. If you live outside of a commutable distance, your willingness to relocate must be listed at the top of your resume or within a cover letter.

We are seeking an AI Developer who can design and deliver enterprise-grade conversational AI (chatbots/assistants) and agentic AI (autonomous or semi-autonomous agents that plan and execute tasks). This role will build AI solutions using a mix of low-code platforms and pro-code development (e.g., Python), integrate with internal systems (APIs, databases, .NET apps), and implement Retrieval-Augmented Generation (RAG) patterns for secure, grounded enterprise responses.

You will also help modernize automation by extending RPA workflows with AI capabilities (classification, extraction, decision support, conversational front-ends), and by building orchestrated agent workflows using tool-calling, MCP servers, and enterprise integration patterns.

COMPETENCIES AND SKILLS:

  • Hands-on development experience building AI experiences (chatbots, assistants, or agents).
  • Ability to deliver using low-code tools and pro-code, including Python (preferred) and REST APIs.
  • Strong understanding of:
  • Conversational AI design (dialog patterns, user experience, prompts)
  • Agentic AI concepts (planning, tool use, autonomy boundaries, guardrails)
  • RAG fundamentals and implementation patterns
  • Experience integrating with enterprise systems: APIs, SQL, data services, authentication/authorization.
  • Understanding of basic software engineering disciplines: source control, testing, environments, CI/CD, reliability.
  • Proficiency in Python and other applicable programming languages.
  • Understanding of governance/compliance for enterprise AI (PII handling, audit trails, model risk practices).
  • Good knowledge of API handling (both SOAP and RESTful) is a plus
  • Strong knowledge of Error reporting techniques, exception handling procedures is a plus
  • Good understanding of Dev, QA and Prod environments and the ability to promote code across the landscapes is required
  • Experience in one or more of the following is a plus:
  • Power Platform / Copilot Studio
  • Azure AI services, OpenAI-compatible APIs, or comparable stacks
  • RPA platforms (UiPath / Power Automate / Blue Prism)

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Build and maintain chatbots using low-code (e.g., Copilot Studio / Power Platform / other) and/or pro-code (Python-based frameworks).
  • Design conversation flows: intents, entities, prompts, dialog management, fallback strategies, escalation to human support.
  • Implement enterprise controls: grounding, citations, safety filters, logging, and user experience patterns.
  • Understand and apply the difference between:
    • Conversational AI: primarily dialogue-driven Q&A and guided flows.
    • Agentic AI: goal-driven systems that plan, call tools, and complete multi-step tasks.
  • Build agents that can:
    • Call APIs and internal services
    • Execute business workflows
    • Use tools (search, data retrieval, ticketing, approvals) safely with governance controls
  • Integrate knowledge sources: SharePoint, files, databases, internal wikis, ticketing systems, and line-of-business apps.
  • Integrate AI capabilities into internal applications (especially .NET ecosystems).

QUALIFICATIONS:

  • 2+ years experience delivering production ready chatbots connected to Enterprise systems, or 2 years of AI experience plus 5+ years of .Net.
  • Prompt engineering.
  • LLM model tuning.
  • Professional communications skills, both verbal and written. Good team player.
  • Manage personal workload and work under tight timeframes.
  • Must be able to work independently with minimal supervision.
  • Bachelor's degree in Computer Science, Engineering, or a related field preferred.

PHYSICAL DEMANDS:

  • Occasional: bending, kneeling, squatting, standing, walking, reaching, overhead reaching, and fine motor skills

WORK ENVIRONMENT:

  • Normal office environment and office lighting
  • Within the Smith & Wesson manufacturing facility employees may be exposed to manufacturing noise, airborne liquid chemicals, fine particulate dust, ambient temperatures, and industrial lighting
  • All employees are required to apply ergonomic correctness to all job tasks

Updated 4/29/26

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