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Prompt Engineer Jobs in Oak Ridge, TN (NOW HIRING)

TensorFlow, PyTorch; model training, tuning, serving, and monitoring. o Generative AI: hands on with LLMs; prompt engineering; fine tuning; RAG patterns; vector databases. o Web & APIs: HTML/CSS/JS;

ChatGPT Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Senior Data Engineer - Operations

Knoxville, TN · Hybrid

$101K - $137K/yr

Participate in prompt engineering, retrieval optimization, and model tuning to improve response quality and relevance * Act as a technology subject-matter expert for assigned applications and ...

New

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

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 ...

Claude Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context processing, analytical reasoning, code generation, document analysis, creative writing assistance, and ...

Enterprise AI Platform Engineer

Knoxville, TN · On-site

$102K - $126K/yr

Enterprise AI Platform Engineer CGI is seeking an experienced Enterprise AI Platform Engineer to ... Understanding of AI agents, workflow automation, prompt optimization, and enterprise AI governance ...

Vibe Coding Tutor

Knoxville, TN · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... non-programmers building first applications through developers integrating AI into existing ...

Lovable Tutor

Knoxville, TN · Remote

$18 - $40/hr

Adapts instruction using guided app building projects, prompt refinement exercises, and deployment walkthroughs to support non-technical users and developers seeking rapid application prototyping and ...

... engineering fundamentals: strong SQL, modern data warehouse (Snowflake or Databricks), pipelines, semantic layers. • MLOps/LLMOps: versioning, evaluation, monitoring, cost controls, prompt and ...

... engineering fundamentals: strong SQL, modern data warehouse (Snowflake or Databricks), pipelines, semantic layers. • MLOps/LLMOps: versioning, evaluation, monitoring, cost controls, prompt and ...

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Prompt Engineer information

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$45

$84

How much do prompt engineer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for prompt engineer in Oak Ridge, TN is $45.02, according to ZipRecruiter salary data. Most workers in this role earn between $34.23 and $58.12 per hour, depending on experience, location, and employer.

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

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 typical day look like for a Prompt Engineer?

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.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive tech companies or leadership roles.

What is a Prompt Engineer job?

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.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with AI tools. The role is expected to grow as AI adoption expands across industries.

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. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, AI tools, and programming languages like Python can influence compensation. Entry-level positions may start lower, while experienced prompt engineers working in tech hubs tend to earn higher salaries.
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What cities near Oak Ridge, TN are hiring for Prompt Engineer jobs? Cities near Oak Ridge, TN with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Oak Ridge, TN as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $93,635 per year, or $45 per hour.
Talent Sourcing Strategy Lead (Remote Eligible)

Talent Sourcing Strategy Lead (Remote Eligible)

Oak Ridge National Laboratory

Oak Ridge, TN • On-site, Remote

$147K - $186K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories


Job description

Requisition Id 16659
Annual Salary Range: $147,560.00 - $186,050.00
Work-Site Type: Remote
ORNL offers a flexible work environment that supports both the organization and the employee. In addition, this position is considered remote-eligible for ORNL in pre-approved locations. Remote-eligibility is not a continued guarantee and could be subject to change based on evolving organizational needs.
Note about pay range:
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with the final candidate's qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US
Position Type:
This is a full-time temporary appointment for up to 36 months. Initial appointments and extensions are subject to performance and availability of funding.
Overview:
The Talent Sourcing Strategy Lead serves as ORNL's lead expert in advanced sourcing strategy and innovation within the Talent Acquisition (TA) division. This position is responsible for developing and managing enterprise-level sourcing solutions that leverage artificial intelligence (AI), data analytics, and workforce planning to identify and engage top talent across scientific, technical, and operational disciplines.
Working with considerable latitude, this position partners closely with senior leadership across the HR Directorate to ensure that sourcing and recruiting strategies are fully integrated and aligned with ORNL's mission and business needs.
As both a strategic consultant and a technical practitioner, this individual also serves as the division's lead prompt engineer, developing and optimizing AI-driven sourcing workflows that enhance recruiter effectiveness, market intelligence, and proactive pipeline development.
Major Duties and Responsibilities:
  • Architect and govern enterprise sourcing and AI enabled workflows that support candidate identification, market intelligence, pipeline optimization, and long-range workforce planning for ORNL's most complex and security sensitive roles.
  • Serve as ORNL's lead sourcing strategist and talent-intelligence consultant, advising HR leadership, directorates, and senior management on labor-market trends, workforce forecasting, and competitive hiring strategies.
  • Lead design, implementation, and continuous improvement of AI systems, including prompt engineering, automation frameworks, and ethical-AI governance (bias audits, privacy controls, tool-vetting records).
  • Steward the enterprise CRM and sourcing technology ecosystem, overseeing workflow governance, platform enhancements, data integrity standards, and integration across TA systems (CRM, SuccessFactors, talent intelligence tools).
  • Own the Sourcing Innovation Roadmap, coordinating strategic advancement of AI capabilities, CRM functionality, market-mapping tools, and sourcing automation aligned to the TA Five-Year Strategy.
  • Build proactive, data-driven talent pipelines through CRM-enabled communities, long-cycle candidate engagement, competitor mapping, skills-emergence tracking, and predictive analytics for succession-critical roles.
  • Develop and govern sourcing methodologies, standards, playbooks, and reusable assets to ensure consistency, auditability, and operational efficiency across the TA division.
  • Design and deliver advanced training programs including AI prompt development, labor-market research, and data-driven recruiting; mentor TA professionals to elevate sourcing capability and ethical AI use.
  • Create executive dashboards and analytics frameworks that connect sourcing inputs to business outcomes, define performance indicators, and deliver actionable insights to senior HR and laboratory leadership.
  • Represent ORNL in industry forums and DOE peer networks, monitoring emerging AI and sourcing innovations, benchmarking practices, and strengthening the laboratory's employer brand and competitive position.

Basic Qualifications:
  • BS/BA degree and a minimum of 12 years of progressive experience in talent sourcing strategy, recruiting operations, workforce analytics, or HR technology implementation.
  • Demonstrated success leading enterprise-scale sourcing initiatives with measurable organizational impact.
  • Experience consulting with senior leadership on talent strategy and workforce planning.
  • Experience in federal, research, or national laboratory environment.

Preferred Qualifications:
  • Minimum of 20 years of experience spanning talent acquisition leadership, sourcing methodology development, and HR technology innovation.
  • Experience recruiting for positions requiring security clearances, with understanding of cleared-talent market dynamics and candidate sensitivities.
  • Recognized expertise in advanced sourcing techniques including Boolean logic, X-ray search, and competitive intelligence gathering.
  • Demonstrated proficiency in generative AI platforms (ChatGPT, Claude, Gemini, Copilot) with practical application to recruiting workflows, plus the use of advanced automation tools.
  • Track record of building sourcing functions, training teams, and establishing organizational best practices.
  • Experience with CRM implementation and talent community development.
  • Strong consultative and communication skills with a proven ability to influence executive decision making.
  • Familiarity with security clearance processes and cleared-talent markets are advantageous.

Special Requirement:
This is a temporary 36-month position. The appointment length will be up to 36 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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