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Remote Retrieval Augmented Generation Jobs in Raleigh, NC

Principal AI Engineer

Raleigh, NC ยท On-site +1

$75 - $100/hr

Seeking highly skilled AI Engineers with expertise in Multi-Agent Retrieval-Augmented Generation ... remote position. Application Deadline This position is anticipated to close on Jun 12, 2026. About ...

AVP, AI Engineering (Remote - EST)

Raleigh, NC ยท Remote

$185K - $235K/yr

Experience with retrieval-augmented generation (RAG), evaluation harnesses, and structured-output ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

AVP, AI Engineering (Remote - EST)

Raleigh, NC ยท Remote

$185K - $235K/yr

Experience with retrieval-augmented generation (RAG), evaluation harnesses, and structured-output ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

Senior AI Technologist

Raleigh, NC ยท On-site +1

$48.75 - $63/hr

... retrieval-augmented generation workflows. * Experience designing data schemas, taxonomies ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

AI and Data Science Engineer III

Raleigh, NC ยท On-site +1

$111K - $133K/yr

Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry * Deliver governed datasets and ...

AI/ML Intern

Durham, NC ยท On-site +1

$14.50 - $19.25/hr

Our team is building the next generation of intelligent procurement solutions, leveraging Agentic AI, Retrieval-Augmented Generation (RAG), large language models (LLMs), and other cutting-edge AI ...

Senior AI Scientist

Durham, NC ยท Remote

$88K - $120K/yr

Retrieval-Augmented Generation (RAG) systems * Tool-augmented agents * Knowledge graph + LLM architectures * Implement offline and online evaluation mechanisms, such as: * A/B testing and canary ...

Senior AI Scientist

Durham, NC ยท Remote

$88K - $120K/yr

Retrieval-Augmented Generation (RAG) systems * Tool-augmented agents * Knowledge graph + LLM architectures * Implement offline and online evaluation mechanisms, such as: * A/B testing and canary ...

Senior UX Researcher AI

Raleigh, NC ยท On-site +1

$118K - $195K/yr

... augmented research. This is not a traditional generalist research role. You'll split your time ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Advance Auto Parts lead software engineers are focused on developing next-generation technologies ... This position is 4 days in office, 1 day remote per week, based at our corporate headquarters in ...

Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are some common challenges faced by professionals working in Remote Retrieval Augmented Generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is Remote Retrieval Augmented Generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Raleigh, NC? The most popular types of Retrieval Augmented Generation jobs in Raleigh, NC are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Raleigh, NC? For Remote Retrieval Augmented Generation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Raleigh, NC look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Retrieval Augmented Generation jobs? Cities near Raleigh, NC with the most Remote Retrieval Augmented Generation job openings:
Principal AI Engineer

Principal AI Engineer

TEKsystems

Raleigh, NC โ€ข On-site, Remote

$75 - $100/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Top Skills' Details

โ€ข Experience architecting multiโ€‘agent systems capable of planning, tool use, and coordinated execution across complex workflows.

โ€ข Experience designing and optimizing RAG pipelines, including hybrid retrieval, reranking, and contextโ€‘window strategies.

โ€ข Fineโ€‘tuning and evaluation of language models experience of varying sizes for domainโ€‘specific reasoning and summarization.

โ€ข Must have developed prompt engineering frameworks, guardrails, and automated evaluation suites for agent reliability.

โ€ข Senior in building scalable ML services and APIs for production deployment in distributed environments.

Description

TEKsystems is partnered with a software company in Raleigh that needs to hire Senior AI Engineers for their flagship product, which accounts for over half of the enterprise's revenue, bringing in over $2 billion dollars each year. The product is an online legal research solution that allows end users to search and cite published cases, laws, case opinions and judgments, briefs, motions, and more. The product is the winner of the prestigious 2013 Codie Award for best legal information system. Itโ€™s a large-scale product that is used in over 100 countries and it utilizes information from leading legal industry sources that is searchable in under two seconds via cutting-edge technology.

Job Description:

Seeking highly skilled AI Engineers with expertise in Multi-Agent Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.

Key Responsibilities:

โ€ข Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).

โ€ข Strong prompt engineering and prompt testing skills to derive the desired outcome

โ€ข Collaborate with cross-functional teams to integrate AI solutions into existing systems.

โ€ข Optimize and fine-tune RAG models for performance and scalability cost saving.

โ€ข Conduct research and stay up-to-date with the latest advancements in AI and machine learning.

โ€ข Write clean, efficient, and maintainable code in Python.

โ€ข Perform data preprocessing, feature engineering, and model evaluation.

โ€ข Troubleshoot and debug AI models and applications in a mono-repo settings.

โ€ข Document AI models, processes, and workflows.

Qualifications:

โ€ข Proven experience as an AI Engineer or similar role.

โ€ข Strong proficiency in Python programming.

โ€ข In-depth knowledge of Retrieval-Augmented Generation (RAG) models.

โ€ข Proven experience in prompt engineering

โ€ข Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

โ€ข Proficiency in data preprocessing and feature engineering techniques.

โ€ข Excellent problem-solving skills and attention to detail.

โ€ข Strong communication and teamwork abilities.

Preferred Skills:

โ€ข Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

โ€ข Knowledge of natural language processing (NLP) techniques.

โ€ข Familiarity with version control systems (e.g., Git).

โ€ข Experience with deploying AI models in production environments.

Skills

Agile, Development, jenkins, Design, Restful api, mysql, aws, linux, unix, javascript, github, unit testing, Python, Sql, Java, Automation, Cloud, Api, J2ee, Web service, Rest, Kubernetes, Docker, Git

Top Skills Details

Agile,Development,jenkins,Design,Restful api,mysql,aws,linux,unix,javascript,github,unit testing,Python,Sql,Java,Automation

Additional Skills & Qualifications

N/A

Experience Level

Expert Level

Job Type & Location

This is a Contract to Hire position based out of Raleigh, NC.

Pay and Benefits

The pay range for this position is $75.00 - $100.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
โ€ข Medical, dental & vision
โ€ข Critical Illness, Accident, and Hospital
โ€ข 401(k) Retirement Plan โ€“ Pre-tax and Roth post-tax contributions available
โ€ข Life Insurance (Voluntary Life & AD&D for the employee and dependents)
โ€ข Short and long-term disability
โ€ข Health Spending Account (HSA)
โ€ข Transportation benefits
โ€ข Employee Assistance Program
โ€ข Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jun 12, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

Weโ€™re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Weโ€™re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Weโ€™re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Weโ€™re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.