ZipRecruiter

Log In

1

Ai Prompt Engineer Jobs in Raleigh, NC (NOW HIRING)

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

Northern Base

AI Solution Lead

Cary, NC · On-site

... databases, prompt engineering, and context engineering ✔ Experience packaging, deploying, serving, and monitoring AI/ML models for real-time and batch inference ✔ Hands-on experience with ...

GEI Consultants

AI Engineer

Cary, NC

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ...

GEI Consultants

AI Engineer

Cary, NC · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ...

Accenture

Sr. Applied AI Engineer (Claude/Codex)

Raleigh, NC · On-site

$119K - $157K/yr

Minimum of 3 years of experience in AI engineering, building applications or products with strong understanding of fine-tuning, prompt engineering, and performance optimization (token utilization ...

previous pagenext page

Showing results 21-40

All JobsAi Prompt Engineer JobsAi Prompt Engineer Jobs in Raleigh, NC

Ai Prompt Engineer information

See Raleigh, NC salary details

$24

$52

$74

How much do ai prompt engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai prompt engineer in Raleigh, NC is $52.13, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $60.53 per hour, depending on experience, location, and employer.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn how to craft effective prompts through practice and understanding of model behavior. Relevant certifications or courses in AI and data science can also enhance your qualifications.

Is AI prompt engineer still in demand?

AI prompt engineers are currently in high demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with demand expected to grow as AI adoption expands across industries.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Compensation may also include benefits such as bonuses and stock options.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

What are the most commonly searched types of Ai Prompt Engineer jobs in Raleigh, NC? The most popular types of Ai Prompt Engineer jobs in Raleigh, NC are:
What are popular job titles related to Ai Prompt Engineer jobs in Raleigh, NC? For Ai Prompt Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Prompt Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Prompt Engineer jobs? Cities near Raleigh, NC with the most Ai Prompt Engineer job openings:
Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 5% Part Time, and 21% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $108,438 per year, or $52.1 per hour.

AI Engineer (LLMs for Healthcare)

Keebler Health

Durham, NC • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Keebler Health is building the operating system for value-based care, aiming to empower healthcare organizations with data-driven insights. The role involves developing and fine-tuning large language models for healthcare applications, collaborating with healthcare professionals, and optimizing AI workflows.
Responsibilities:
• Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
• Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
• Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
• Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
• Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability.
• Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
• Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).
• Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions.
• Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
• Deploy and monitor AI models in production environments to ensure performance and compliance.
• Optimize infrastructure for efficient training, testing, and deployment of models.
• Stay at the forefront of advancements in AI, especially in healthcare applications.
• Identify and resolve performance bottlenecks in AI workflows.
• Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions.
• Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows.
• Communicate technical results and insights effectively to non-technical stakeholders.
Qualifications:
Required:
• Proven experience in LLM fine-tuning and advanced prompt engineering.
• Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch).
• Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards).
• Hands-on experience with retrieval-augmented generation (RAG) techniques.
• Expertise in evaluating AI models using performance metrics like precision, and recall.
Preferred:
• Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.
• Understanding of healthcare data standards, including HL7 and HEDIS metrics.
• Strong problem-solving skills in integrating AI with complex healthcare datasets.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Company:
Keebler Health develops an AI-powered healthcare analytics platform focused on risk adjustment and clinical decision support. Founded in 2023, the company is headquartered in Durham, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply