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Prompt Engineer Jobs in Tennessee (NOW HIRING)

Skills in working with LLMs, prompt engineering, fine-tuning, and using frameworks like LangChain and LangGraph to build RAG (Retrieval-Augmented Generation) systems. * Handling data wrangling, SQL ...

AI Legal Engineer

Chattanooga, TN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... prompt design, retrieval pipelines, document templates, evaluations, and guardrails with practice-group-facing training, enablement, and change management. The AI Legal Engineer will serve as a ...

AI Legal Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... prompt design, retrieval pipelines, document templates, evaluations, and guardrails with practice-group-facing training, enablement, and change management. The AI Legal Engineer will serve as a ...

Knowledge of prompt engineering, embeddings, and semantic search * Experience with vector databases (Pinecone, Weaviate, pgvector 3. AWS Cloud & Microservices Architecture * Strong hands-on ...

Experience and willingness to learn and adapt to AI prompt engineering. * U.S. residency required * Advanced proficiency in English * This role requires advanced proficiency in English to effectively ...

AI Engineer

Nashville, TN · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

Showing results 21-40

Prompt Engineer information

See Tennessee salary details

$9

$42

$79

How much do prompt engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for prompt engineer in Tennessee is $42.74, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $55.19 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance.

What are the most commonly searched types of Prompt Engineer jobs in Tennessee?

The most popular types of Prompt Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Prompt Engineer jobs?

Cities in Tennessee with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Tennessee as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $88,892 per year, or $42.7 per hour.

Senior Engineer, AI Agentic & Transformation

Lifepoint Health

Brentwood, TN • On-site

$98K - $135K/yr

Full-time

Re-posted 2 days ago


LifePoint Health rating

5.9

Company rating: 5.9 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

759th of 887 rated healthcare providers


Job description


EEOC Statement
"Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment."
You must be authorized to work in the United States without employer sponsorship.
WORK ENVIRONMENT AND TRAVEL REQUIREMENTS:
The position is: Remote
Travel Requirements: Less than 25%
POSITION SUMMARY:
The Senior Agentic AI Engineer is a hands-on builder responsible for designing, developing, and deploying AI-powered autonomous workflows and agentic systems that eliminate manual processes across the organization.
The role requires an individual who is self-driven, intellectually curious, and able to work independently in a rapidly evolving technical environment. Candidates should demonstrate strong foundational software engineering skills, the ability to learn new tools and concepts through self-directed study, and an aptitude for applying emerging AI technologies to practical business problems. While direct production experience with all listed technologies is preferred, it is not required if the candidate can show relevant technical ability, sound problem-solving skills, and a proven capacity to quickly build knowledge in new areas.
ESSENTIAL FUNCTIONS:
  • Design and build LLM-powered agentic workflows using Azure AI Foundry and Anthropic Claude APIs that automate business processes currently requiring manual human effort.
  • Develop multi-step AI agent pipelines using orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, or custom implementations) integrated with enterprise systems such as ServiceNow, Okta, and ERP platforms.
  • Implement Model Context Protocol (MCP) integrations to enable AI agents to securely access and act on enterprise data sources, tools, and APIs - becoming an internal subject-matter expert on MCP patterns and best practices.
  • Apply security-by-design principles throughout all AI agent development: prompt injection defense, least-privilege tool access, secrets management, output validation, and safe handling of sensitive organizational data.
  • Build, test, and iterate on prompts, system instructions, and agent reasoning chains to ensure reliable, accurate, and safe agent behavior across diverse business scenarios.
  • Partner with the Backend Integration Engineer to connect agent workflows to existing enterprise API infrastructure and MCP server endpoints.
  • Collaborate with the AI Business Analyst to translate business use cases into technical agent requirements and working prototypes.
  • Participate in code reviews, maintain internal documentation, and contribute to the team's shared engineering standards for agentic AI development.
  • Stay current with rapidly evolving AI tooling, model capabilities, and agentic design patterns - proactively experimenting and bringing new techniques to the team.
  • Assist in evaluating AI agent outputs for accuracy, safety, and alignment with intended business outcomes before production deployment.
  • Designing multi-step autonomous workflows
  • Integrating AI with enterprise tools and APIs
  • Prompt engineering, orchestration, tool calling, RAG, and agent safety
  • Turning business use cases into working AI solutions
  • Ensuring AI systems behave reliably, securely, and accurately

QUALIFICATION, EDUCATION, KNOWLEDGE, SKILLS:
The requirements listed below are representative of the knowledge, skills and/or abilities required.
EDUCATION:
Bachelor's degree in computer science, Information Systems, Software Engineering, or related field preferred. Equivalent practical experience or a strong portfolio of AI projects will be considered.
EXPERIENCE:
4+ years of experience in a foundational IT, software engineering, systems integration, or application development environment required, including at least 2+ years of hands-on experience working with AI, automation, orchestration, or integration platforms such as Azure AI Foundry, Anthropic Claude APIs, LangChain, AutoGen, Semantic Kernel, ServiceNow, Okta, ERP-connected workflows, or similar enterprise automation technologies.
Candidates should demonstrate practical experience building, supporting, or enhancing technical solutions in production or pilot environments, along with strong core competencies in programming, API integration, troubleshooting, and systems thinking. Experience with agentic AI projects, whether in professional settings or through substantial independent work, is strongly preferred.
KNOWLEDGE, SKILLS & ABILITIES:
  • Working knowledge of Python and REST API consumption and integration.
  • Familiarity with Azure cloud services; Azure AI Foundry experience is a strong plus.
  • Understanding of LLM concepts: prompting, tool use / function calling, context management, retrieval-augmented generation (RAG), and multi-agent orchestration.
  • Exposure to or eagerness to deeply learn Model Context Protocol (MCP) - the emerging standard for connecting AI agents to enterprise tools and data sources.
  • AI security awareness: prompt injection attacks, data leakage risks, insecure tool execution, jailbreaking techniques, and general OWASP software security principles.
  • Experience with version control (Git) and basic software development lifecycle (SDLC) practices.
  • Intellectual curiosity and a demonstrated self-directed learning habit - personal projects, open-source contributions, online courses, or similar evidence welcomed.
  • Strong problem-solving skills and ability to operate independently in a fast-moving, ambiguous environment.
  • Excellent written and verbal communication skills - able to explain technical concepts to non-technical stakeholders.

CERTIFICATIONS/LICENSURE:
Microsoft Azure AI Engineer Associate (AI-102) or Azure Fundamentals (AZ-900) preferred. Willingness to pursue relevant AI and Azure certifications is expected and supported by the organization.
About Us
Lifepoint Health is a leader in community-based care and driven by a mission of Making Communities Healthier. Our diversified healthcare delivery network spans 29 states and includes 63 community hospital campuses, 32 rehabilitation and behavioral health hospitals, and more than 170 additional sites of care across the healthcare continuum, such as acute rehabilitation units, outpatient centers and post-acute care facilities. We believe that success is achieved through talented people. We want to create places where employees want to work, with opportunities to pursue meaningful and satisfying careers that truly make a difference in communities across the country.
About the Team
We employ and provide care to people from all walks of life. We are committed to promoting healing, providing hope, preserving dignity and producing value with an inclusive workforce in which diversity is leveraged, respected, and reflective of the patients, family members, customers and team members we serve.

What LifePoint Health employees say

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Benefits

Hours and flexibility

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About LifePoint Health

Sourced by ZipRecruiter

Lifepoint Health serves patients, clinicians, communities and partners across the healthcare continuum. Our diversified healthcare delivery network extends from coast to coast, consisting of community hospitals, rehabilitation and behavioral health hospitals, and additional sites of care.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Brentwood, TN, US

Year founded

1999

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