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Python Llm Jobs in Tennessee (NOW HIRING)

AI Engineer

Nashville, TN · On-site +1

$110K - $132K/yr

... LLM/GenAI applications (RAG, agents, or text-to-SQL) - through work, internships, or substantial personal projects. * Solid Python and SQL ; comfort querying a cloud data warehouse (Snowflake a plus)

Senior AI Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

Senior AI Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

Senior AI Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

... modern LLM-based/MCP-orchestrated architectures. A key focus of this role in the near term is ... The ideal candidate is highly skilled in Python, Jupyter, Snowflake, and both Azure and AWS cloud ...

Cloud Engineering Advisor

Memphis, TN · On-site

$49.75 - $66.50/hr

Write clean, efficient, modular, and well-documented Python code to develop and implement machine ... Proven experience building LLM-powered applications, RAG pipelines, and agentic workflows using ...

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

... • LLM model selection, configuration, and prompt tooling • Model fine‑tuning and ... Python (mandatory); experience with Java or equivalent languages for platform and systems ...

AI Architect

Nashville, TN · On-site

$250/hr

Architect data pipelines, vector databases, LLM orchestration, and retrieval-augmented generation ... Python, SQL; familiarity with TensorFlow/PyTorch. * Experience designing enterprise-grade AI ...

Showing results 21-40

Python Llm information

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 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:

AI Engineer

Nashville, TN • On-site, Remote

$110K - $132K/yr

Full-time

Posted 26 days ago


Key responsibilities

  • Build and improve LLM-powered analytics features, including agentic workflows, natural-language querying, retrieval-augmented generation, and tool-use over structured and unstructured data.

  • Contribute to text-to-SQL and semantic-layer systems to enable non-technical users to query healthcare datasets accurately and safely.

  • Develop retrieval pipelines over document stores, implement evaluation and guardrails for model accuracy, and enforce data-governance and compliance controls in the AI layer.


Job description

Our offices in Boca Raton, FL and Nashville, TN are where we come together for collaboration, education, and celebrations, and we're looking for teammates who can join us in person for those meaningful moments.
Reports to: VP, Data Products & Technology
Years Experience: 2-4 Years
Department: Data Solutions & Analytics
The Position:
We're hiring a mid-level AI Engineer to help build and scale the AI systems behind Violet and our broader analytics platform called ThirdBase. You'll work hands-on with large language models, retrieval systems, and healthcare data- building features that turn a governed warehouse of claims, referrals, HCP engagement, and campaign performance into trustworthy, compliant, natural-language analytics. You'll own well-defined components end-to-end and grow into larger systems, with support from senior engineers and clear technical direction.
The Responsibilities:
Includes, but not limited to the following:
  • Build and improve LLM-powered analytics features - agentic workflows, natural-language querying, retrieval-augmented generation (RAG), and tool-use over structured (SQL/Snowflake) and unstructured (document) data.
  • Contribute to text-to-SQL and semantic-layer systems that let non-technical users query complex healthcare datasets accurately and safely.
  • Develop retrieval pipelines over document stores (vector search, hybrid keyword + semantic).
  • Implement evaluation, guardrails, and hallucination checks - accuracy on domain data is non-negotiable in healthcare.
  • Help enforce data-governance and compliance controls in the AI layer (derived-insights-only, no PHI/PII exposure, appropriate access controls).
  • Integrate multiple tools and data sources (warehouse, campaign platforms, web, document repositories) into agent workflows.
  • Deploy and maintain services on AWS, and monitor model performance, latency, and cost.
  • Collaborate with product, analytics, and senior engineers to translate requirements into shipped features.
The Essentials:
Required
  • 2-4 years building production software, including some hands-on experience with LLM/GenAI applications (RAG, agents, or text-to-SQL) - through work, internships, or substantial personal projects.
  • Solid Python and SQL; comfort querying a cloud data warehouse (Snowflake a plus).
  • Working knowledge of AWS and deploying services in the cloud.
  • Substantive experience in LangGraph, CrewAI, n8n, or other agentic frameworks
  • Experience in AI-assisted coding and CICD processes.
  • Familiarity working with Node, React, or other javascript frameworks
  • Exposure to retrieval systems, embeddings, or vector search.
  • Experiments-driven design using evaluation harnesses for change management
  • Understanding of prompt engineering and LLM guardrails - a sense of how to make model outputs reliable, not just functional.
  • Awareness of data privacy and compliance basics and willingness to build to them.
  • Ability to own a feature or component end-to-end and collaborate across a team.

Nice to Have
  • Any experience with healthcare/life-sciences data (claims, referrals, HCP, ICD-10) or another regulated data domain.
  • Familiarity with HIPAA / PHI-PII constraints or de-identified / derived-insights data models.
  • Exposure to agent orchestration frameworks and multi-tool workflows.
  • Basic MLOps/LLMOps: monitoring, cost/latency optimization.
  • Background in analytics, BI, or data engineering.
Core Tech Stack:
  • Cloud: AWS (e.g., Lambda, S3, ECS/Fargate, API Gateway)
  • Data warehouse: Snowflake (SQL, semantic layers)
  • Languages: Python (primary), SQL
  • AI/ML: LLMs (OpenAI/Anthropic-class models, incl. Amazon Bedrock), RAG, embeddings/vector search, prompt engineering, function-calling / tool-use, skills
  • Data domains: healthcare claims, physician referrals, ICD-10 diagnosis, HCP engagement, campaign/media performance, survey/primary research
  • Data & document tooling: vector databases, hybrid search, integrations with platforms like Egnyte and Google Drive
  • Analytics libraries: pandas and modern data-analysis/plotting tooling
  • Governance: compliance-aware data access, PII/PHI handling, source citation
The Vision:
BPD is a strategic growth partner that delivers the future to healthcare's leading brands. We provide fully integrated solutions - branding, marketing, communications, and business consulting - which are technology-enabled, AI-infused, and supported by our proprietary data platform. All to ignite greatness in our clients and bring better health to more people. Our clients range from the largest health systems to prestigious academic medical centers to leading healthcare innovators. For more information on BPD, visit www.bpdhealthcare.com.
Unified BPD unites our diverse backgrounds and perspectives into a stronger collective-one that fosters a more inclusive, impactful future for our people, our clients, and healthcare as a whole. Guided by ongoing reflection and learning, we respect every race, ethnicity, gender expression, sexual identity, ability, and life experience.
As BPDerrrs, we:
  • Celebrate and value what makes each of us unique;
  • Unite around our shared purpose to ignite greatness in those we serve and, by extension, help them improve the health to the communities they serve;
  • Lead through inclusive work that authentically connects with all consumers and champions health equity for all
  • Lean into honest dialogue, acknowledging that building a diverse workforce, fostering belonging, and creating the best, most inclusive work for our clients and their communities is an ongoing journey.

This commitment ignites our organization's greatness and grounds the brilliant work we do for our clients and communities.
BPD is proud to be an Equal Opportunity employer. BPD recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, protected veteran status, physical or mental disability, sexual orientation, gender identity, marital status, or citizenship status.