ZipRecruiter

Log In

1

Python Llm Jobs in Maryville, TN (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Knoxville, TN · On-site

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

ResultStack

Sr. Data Scientist

Knoxville, TN · On-site

Having Hands-On experience with LLM's, NLP, computer vision, or operations research applied to real ... Preferred : • Python, R, or SQL --- scripting and querying at production scale. • Software ...

C2 Labs, Inc.

AI Engineer

Knoxville, TN

... LLM systems (agents, RAG, automation, evaluation). · Strong software engineering skills (Python required; modern web/TypeScript a plus). · Cloud delivery experience (AWS and/or Azure), APIs, CI/CD ...

All JobsPython Llm JobsPython Llm Jobs in Maryville, TN

Python Llm information

See Maryville, TN salary details

$11

$51

$75

How much do python llm jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python llm in Maryville, TN is $51.05, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $57.98 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

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

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What job categories do people searching Python Llm jobs in Maryville, TN look for?

The top searched job categories for Python Llm jobs in Maryville, TN are:

What cities near Maryville, TN are hiring for Python Llm jobs?

Cities near Maryville, TN with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in Maryville, TN as of August 2026, with employment types broken down into 2% Internship, 83% Full Time, 7% Part Time, 7% Contract, and 1% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $106,192 per year, or $51.1 per hour.

Cloud Software Engineer

ITR

Oak Ridge, TN

$57.25 - $74.50/hr

Full-time

Re-posted 18 days ago

Job description

  • Mid -level (2-5 years)
  • Must be eligible for a security clearance (US Citizen)
  • Must be able to work 100% onsite in Oak Ridge, Tennessee

We are looking for a Cloud Software Engineer who enjoys the intersection of application code and cloud infrastructure.
Key Responsibilities
  • Architect & Build: Design and develop scalable software solutions leveraging core AWS services (EC2, S3, Lambda, Step Functions, SQS, SNS, RDS, and API Gateway).
  • Infrastructure as Code (IaC): Use Terraform to provision, manage, and version-control cloud resources, ensuring high availability and environmental parity.
  • Full-Stack Development: Write clean, maintainable, and efficient code in Python (for backend logic and automation) and JavaScript/Node.js (for web services and integrations).
  • Containerization: Manage application packaging and deployment using Docker, moving toward a microservices-based architecture.
  • Automate Everything: Maintain and optimize our AWS CI/CD pipelines, ensuring that every pull request in Git moves through a robust testing and deployment lifecycle.
  • Collaborate: Use Jira to track progress, participate in sprint planning, and contribute to a culture of transparency and technical excellence.
Required Qualifications
  • Education: BS or MS in Computer Science (or a related technical field).
  • Experience: A minimum of 2+ years of professional experience in a software engineering role.
  • Cloud Proficiency: Hands-on experience developing and deploying software within AWS cloud infrastructure.
  • IaC Skills: Proven experience deploying and managing production-grade resources using Terraform.
  • Programming: High proficiency in Python and JavaScript (Node.js/React preferred).
  • DevOps Toolchain: Familiarity with Git (branching strategies, PR workflows), Jira, and AWS DevOps tools (CodeBuild, CodeDeploy, etc.).
  • Containers: Solid experience with Docker for creating, deploying, and managing containers.
Preferred Tech Stack
  • Database: Experience with MySQL, PostgreSQL, DynamoDB or Aurora.
  • Observability: Using CloudWatch and OpenTelemetry for system health.
  • Security: Understanding of IAM roles, policies, VPC security groups, and encryption.
  • AI: Familiarity with agentic AI design patterns, AI dev tool sets (AIOPs), and LLM integration.