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Ai Engineer Jobs in Raleigh, NC (NOW HIRING)

TEKsystems

Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

Description The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt engineering into one ...

TEKsystems

Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

Description The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt engineering into one ...

ACA Group

Python/AI Product Engineer

Durham, NC · Hybrid

Position Overview We are seeking a highly experienced Senior / Lead AI Developer to join our growing AI Engineering team. This role is ideal for a hands-on technical leader who is passionate about ...

ACA Group

Python/AI Product Engineer

Durham, NC · On-site

Position Overview We are seeking a highly experienced Senior / Lead AI Developer to join our growing AI Engineering team. This role is ideal for a hands-on technical leader who is passionate about ...

Xsolla

AI-First Engineering Intern

Raleigh, NC · On-site

$20 - $25/hr

We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: * Internal AI ...

ACA Group

AI Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

About the Role We are seeking an AI Operations Engineer to help support and optimize our next-generation AI platform focused on compliance, surveillance, and intelligent workflow automation.This role ...

ACA Group

AI Operations Engineer

Durham, NC · On-site

$67K - $90K/yr

About the Role We are seeking an AI Operations Engineer to help support and optimize our next-generation AI platform focused on compliance, surveillance, and intelligent workflow automation.This role ...

Epic Games

AI Programmer

Cary, NC · On-site

$119K - $132K/yr

What You'll Do Epic Games is looking for an experienced AI Programmer to join the Fortnite Battle Royal AI team. We believe that the best gameplay experiences are driven by collaboration and ...

Itron, Inc

AI Developer

Raleigh, NC · On-site

We are seeking an AI Developer to design and build AIpowered solutions using Microsoft's AI ecosystem, primarily Azure, GitHub, Copilot Studio, and Azure AI Foundry. In this role, you will develop ...

Itron, Inc.

AI Developer

Raleigh, NC · On-site

We are seeking an AI Developer to design and build AIpowered solutions using Microsoft's AI ecosystem, primarily Azure, GitHub, Copilot Studio, and Azure AI Foundry. In this role, you will develop ...

3E

AI Security & Trust Engineering Manager

Raleigh, NC · Remote

$160K - $175K/yr

You will work across Engineering, AI, Platform, Infrastructure, Digital Workplace, Security, Compliance, HR, Legal, and Product to make trust part of how 3E builds and operates. The goal is to turn ...

Socket.dev

Director of AI Security Engineering

Cary, NC · On-site

$140 - $210/hr

The Director of AI Engineering will drive the solutions and participate in engineering for the following: * Drive technical engineering for operating technical and governance controls that help ...

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All JobsAi Engineer JobsAi Engineer Jobs in Raleigh, NC

Ai Engineer information

See Raleigh, NC salary details

$37.9K

$98.9K

$133.7K

How much do ai engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai engineer in Raleigh, NC is $98,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $113,200.00 per year, depending on experience, location, and employer.

What kind of work do AI engineers do?

AI engineers develop and implement artificial intelligence models and algorithms to solve complex problems, often working with machine learning, deep learning, and data analysis. They design, train, and optimize AI systems using tools like Python, TensorFlow, or PyTorch, and collaborate with cross-functional teams to deploy AI solutions in various applications.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

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

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are the most commonly searched types of Ai Engineer jobs in Raleigh, NC? The most popular types of Ai Engineer jobs in Raleigh, NC are:
What are popular job titles related to Ai Engineer jobs in Raleigh, NC? For Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Engineer jobs? Cities near Raleigh, NC with the most Ai Engineer job openings:
Ai Engineer jobs near you
Infographic showing various Ai Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, and 6% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $98,911 per year, or $47.6 per hour.

AI Engineer (LLMs for Healthcare)

Keebler Health

Durham, NC • On-site

Full-time

Re-posted 5 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.

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