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Prompt Engineering Jobs in Raleigh, NC (NOW HIRING)

Frontier Technology Inc.

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 ...

Frontier Technology Inc.

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 ...

Cloudera

Staff Software Engineer

Raleigh, NC

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 ...

Litera

Growth Marketing Manager

Raleigh, NC · Hybrid

$89K - $110K/yr

Serve as an in-house AI guru: leverage AI tools (e.g., LLMs, generative content platforms, prompt engineering) to produce, test, and iterate on content at scale without sacrificing quality or brand ...

Dlapiper

AI Solutions Engineer

Raleigh, NC · Hybrid

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 ...

Infosys

Angular Frontend Developer

Raleigh, NC · On-site

$101.10K - $117.60K/yr

... Prompt Engineering techniques for effective AI assisted coding, testing, and documentation. • Experience with Java. Company : Infosys is a technology company that offers consulting, outsourcing ...

Infosys

Angular Frontend Developer

Raleigh, NC · On-site

$101.10K - $117.60K/yr

... Prompt Engineering techniques for effective AI assisted coding, testing, and documentation • Experience with Java Company : Infosys is a technology company that offers consulting, outsourcing ...

Progress

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 ...

Progress

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 ...

Progress

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 ...

Progress

Principal DevOps Engineer

Raleigh, NC · Hybrid

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 ...

Capgemini America, Inc.

Data Scientist (GenAI)

Cary, NC · Hybrid

Hands-on expertise with LLMs, prompt engineering, embeddings, and fine-tuning. * Experience in propensity modeling across campaigns and marketing analytics. * Strong understanding of data processing ...

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Prompt Engineering information

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$31.6K

$61.2K

$92.8K

How much do prompt engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for prompt engineering in Raleigh, NC is $61,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $70,000.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

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

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.
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Prompt Engineering jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Raleigh, NC • On-site, Remote

$140K - $220K/yr

Full-time

Posted 10 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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