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Python Llm Jobs in Tennessee (NOW HIRING)

Mammoth Holdings

Junior Full Stack Data Engineer

Alcoa, TN · On-site

$75K - $80K/yr

You will also use modern AI tooling, including LLM-based workflows and MCP servers, to make the ... Python for pipeline development, automation, and scripting. * Exposure to containerization (Docker ...

DXC Technology

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

LLM model selection, configuration, and prompt tooling * Model finetuning and customization ... Strong programming skills in Python (mandatory); experience with Java or equivalent languagesfor ...

Eliassen Group

Senior AI/ML Engineer

Nashville, TN · Remote

$90 - $100/hr

... LLM orchestration, integration, and vLLM-based inference for document understanding. * Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering. * Strong Python ...

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

Design, implement, and optimize AI/ML models (NLP, CV, RL, LLM fine-tuning) to solve high-impact ... Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks ...

Indeed

Machine Learning Engineer

Nashville, TN

Develop LLM retrieval and generation workflows * Improve search and ranking relevance * Design ... Experience building ML models in Python; solid software engineering and algorithms fundamentals

Cadre5

Cloud Software Engineer

Knoxville, TN · On-site

$53.50 - $69.50/hr

Write clean, maintainable, and efficient code in Python (for backend logic and automation) and ... Familiarity with agentic AI design patterns, AI dev tool sets (AIOPs), and LLM integration.

Cliftonlarsonallen

Lead ML Ops Engineer

Nashville, TN · On-site

$99K - $130K/yr

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating ... Advanced proficiency in Python and architectural mastery of objectoriented design across ...

Oracle

Principal Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Strong programming skills in Java, Python, Go, or JavaScript/TypeScript. * Experience building ... Knowledge of LLM orchestration frameworks, retrieval systems, vector databases, or AI ...

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Python Llm information

What is a Python LLM job?

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 are the most commonly searched types of Python Llm jobs in Tennessee? The most popular types of Python Llm jobs in Tennessee are:
What are popular job titles related to Python Llm jobs in Tennessee? For Python Llm jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Tennessee look for? The top searched job categories for Python Llm jobs in Tennessee are:
What cities in Tennessee are hiring for Python Llm jobs? Cities in Tennessee with the most Python Llm job openings:
Python Llm jobs near you
Junior Full Stack Data Engineer

Junior Full Stack Data Engineer

Mammoth Holdings

Alcoa, TN • On-site

$75K - $80K/yr

Full-time

Posted 3 days ago

Mammoth Holdings rating

5.3

Company rating: 5.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

291st of 332 rated vehicle maintenance

Job description

Job Type
Full-time
Description
We are seeking a Junior Full Stack Data Engineer to join our Data & Analytics team. This role is for someone who is genuinely strong with databases and great at connecting things together: you will design and tune the SQL and Snowflake models at the heart of our platform, build and orchestrate the engineering pipelines that move data between systems on AWS, and stitch applications, warehouse, and reporting layers into one coherent, reliable flow. Just as important, you bring real analytics under your belt - you can interrogate data, spot what matters, and turn it into Power BI dashboards and analyses the business trusts. You will also use modern AI tooling, including LLM-based workflows and MCP servers, to make the platform smarter and more automated. With roughly three years of professional experience, you will partner with senior engineers and business stakeholders to deliver production-grade data products from ingestion through insight.
Requirements
  • Data Engineering: design, build, and maintain ELT pipelines that ingest, clean, and transform data from multiple internal and external source systems into Snowflake.
  • Data Modeling & Transformation: develop well-structured, tested, and documented dbt models; write performant SQL for complex transformations across the warehouse.
  • Pipeline Orchestration: own the scheduling, dependency management, and monitoring of engineering pipelines end to end - so jobs run in the right order, failures are caught early, and data lands fresh and on time.
  • Systems Integration: connect things together - build the integrations that move data between source applications, APIs, the Snowflake warehouse, and downstream consumers across AWS, keeping the whole data flow coherent and reliable.
  • Analytics: go beyond reporting - dig into the data to answer real business questions, validate assumptions, and surface trends and anomalies; bring sound analytical judgment to every dataset you touch.
  • Reporting & BI: build and maintain Power BI dashboards and semantic models that stakeholders rely on daily, with clean data models, solid DAX, and clear visual design.
  • Applied AI: use AI/LLM tooling - including MCP servers and AI-assisted development workflows - to automate data tasks, integrate AI capabilities into the platform, and prototype intelligent data services.
  • Engineering Practices: write clean, well-documented, version-controlled code; participate in code reviews; and uphold data quality, testing, and monitoring standards across the stack.
  • Collaboration: work closely with senior engineers, analysts, and business partners to scope problems, present findings, and iterate on solutions.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field - or equivalent practical experience.
  • Approximately 3 years of professional experience in data engineering, analytics engineering, or a comparable technical role.
  • Deep database skills: expert SQL - confident writing, optimizing, and debugging complex queries - plus a solid grasp of relational design, indexing/clustering, and query performance.
  • Hands-on experience with Snowflake (or a comparable cloud data warehouse, with willingness to go deep on Snowflake).
  • Experience building and maintaining dbt models, including testing and documentation.
  • Working experience with AWS and its core data services (e.g., S3, Lambda, Glue, IAM), and a track record of connecting systems together - integrating applications, APIs, and data stores into orchestrated, dependable pipelines.
  • Strong analytics under your belt: proven ability to analyze data rigorously and communicate findings, with hands-on Power BI experience (data models, DAX, well-designed dashboards).
  • Working knowledge of modern AI tooling - LLM APIs, AI-assisted workflows, and familiarity with MCP (Model Context Protocol) servers or similar integration patterns.
  • Familiarity with version control (Git) and collaborative development workflows.
  • Solid problem-solving skills, with the ability to communicate technical results to non-technical audiences.
  • Experience with orchestration tools such as Airflow, Dagster, or dbt Cloud jobs.
  • Python for pipeline development, automation, and scripting.
  • Exposure to containerization (Docker) and infrastructure-as-code (e.g., Terraform).
  • Experience building or integrating MCP servers, agents, or AI APIs (e.g., Anthropic, OpenAI) into data workflows.
  • Familiarity with dimensional modeling and warehouse design best practices.
  • Experience administering or optimizing Snowflake (warehouses, roles, cost management).

Salary Description
$75,000-$80,000

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