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Prompt Engineer Jobs in Raleigh, NC (NOW HIRING)

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

Understanding of prompt engineering, retrieval quality, and grounding methods. * Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer Science, Engineering ...

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

Understanding of prompt engineering, retrieval quality, and grounding methods. * Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer Science, Engineering ...

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

Understanding of prompt engineering, retrieval quality, and grounding methods. * Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer Science, Engineering ...

AI/ML Engineer

Raleigh, NC · On-site +1

$140K - $220K/yr

Understanding of prompt engineering, retrieval quality, and grounding methods. * Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer Science, Engineering ...

AI/ML Engineer

Durham, NC · On-site +1

$140K - $220K/yr

Understanding of prompt engineering, retrieval quality, and grounding methods. * Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer Science, Engineering ...

You understand the fundamentals of LLMs, vector databases, RAG, and prompt engineering. Familiarity with tools such as MLflow, LangChain, or Hugging Face is a significant advantage. * Security ...

Understanding of prompt engineering and building evolving frameworks like DSPy and building RL into standardized prompt frameworks for sustainable solutions. * Ability to apply core engineering for ...

Principal DevOps Engineer

Raleigh, NC · Hybrid

$163.85K - $185K/yr

Applied use prompt engineering to effectively leverage AI across the SDLC Base Salary Range: $163,850 - $185,000 This position is also eligible to participate in our performance-based annual ...

Principal DevOps Engineer

Raleigh, NC · Hybrid

$163.85K - $185K/yr

Applied use prompt engineering to effectively leverage AI across the SDLC Base Salary Range: $163,850 - $185,000 This position is also eligible to participate in our performance-based annual ...

Applied use prompt engineering to effectively leverage AI across the SDLC Base Salary Range: $163,850 - $185,000 This position is also eligible to participate in our performance-based annual ...

Principal DevOps Engineer

Raleigh, NC · On-site +1

$163.85K - $185K/yr

Applied use prompt engineering to effectively leverage AI across the SDLC Base Salary Range: $163,850 - $185,000 This position is also eligible to participate in our performance-based annual ...

AI Architect

Raleigh, NC

$61.25 - $80.75/hr

Provides architectural direction and technical mentorship to Prompt + Skills Engineers, setting build standards, reviewing output quality and creating the technical development path for internal ...

AI Architect

Raleigh, NC · On-site +1

$61.25 - $80.75/hr

Provides architectural direction and technical mentorship to Prompt + Skills Engineers, setting build standards, reviewing output quality and creating the technical development path for internal ...

Experience with prompt engineering, context design, or structured prompting for AI-assisted development use cases * Experience with containerization, deployment automation, or modern platform ...

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Prompt Engineer information

See Raleigh, NC salary details

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How much do prompt engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for prompt engineer in Raleigh, NC is $45.77, according to ZipRecruiter salary data. Most workers in this role earn between $34.81 and $59.13 per hour, depending on experience, location, and employer.

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.

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 are the most commonly searched types of Prompt Engineer jobs in Raleigh, NC? The most popular types of Prompt Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Prompt Engineer jobs? Cities near Raleigh, NC with the most Prompt Engineer job openings:
AI/ML Engineer

$140K - $220K/yr

Full-time

Posted 11 days ago


Job description

Overview

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.

  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

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Employment Type: FULL_TIME