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Remote Rag Jobs in Lillington, NC (NOW HIRING)

Principal AI Engineer

Raleigh, NC · On-site +1

$75 - $100/hr

... RAG pipelines, including hybrid retrieval, reranking, and context‑window strategies. • ... remote position. Application Deadline This position is anticipated to close on Jun 12, 2026. About ...

RAG, MCP / A2A or equivalent agent-to-agent protocols, agentic orchestration frameworks, and the ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

RAG, MCP / A2A or equivalent agent-to-agent protocols, agentic orchestration frameworks, and the ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

Senior AI/ML Engineer

Raleigh, NC · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

Software Engineer

Raleigh, NC · On-site +1

$135K - $154K/yr

Develop and deploy AI/ML applications and MLOps workflows using Red Hat OpenShift AI, including RAG ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products: Data ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products: Data ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products: Data ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products: Data ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Principal Software Engineer

Raleigh, NC · On-site +1

$151K - $249K/yr

Experience implementing sophisticated RAG, long-term memory systems, semantic caches, and vector ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed. Desired Skills Data Engineering * Strong programmingexpertisein Python and SQL, including data engineering ...

Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed. Desired Skills Data Engineering * Strong programmingexpertisein Python and SQL, including data engineering ...

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Remote Rag information

See Lillington, NC salary details

$14

$18

$19

How much do remote rag jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote rag in Lillington, NC is $18.04, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $19.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
What job categories do people searching Remote Rag jobs in Lillington, NC look for? The top searched job categories for Remote Rag jobs in Lillington, NC are:
What cities near Lillington, NC are hiring for Remote Rag jobs? Cities near Lillington, NC with the most Remote Rag job openings:
Infographic showing various Remote Rag job openings in Lillington, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $37,514 per year, or $18 per hour.
Principal AI Engineer

Principal AI Engineer

TEKsystems

Raleigh, NC • On-site, Remote

$75 - $100/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Top Skills' Details

• Experience architecting multi‑agent systems capable of planning, tool use, and coordinated execution across complex workflows.

• Experience designing and optimizing RAG pipelines, including hybrid retrieval, reranking, and context‑window strategies.

• Fine‑tuning and evaluation of language models experience of varying sizes for domain‑specific reasoning and summarization.

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

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. It’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:

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

• Strong prompt engineering and prompt testing skills to derive the desired outcome

• Collaborate with cross-functional teams to integrate AI solutions into existing systems.

• Optimize and fine-tune RAG models for performance and scalability cost saving.

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

• Write clean, efficient, and maintainable code in Python.

• Perform data preprocessing, feature engineering, and model evaluation.

• Troubleshoot and debug AI models and applications in a mono-repo settings.

• Document AI models, processes, and workflows.

Qualifications:

• Proven experience as an AI Engineer or similar role.

• Strong proficiency in Python programming.

• In-depth knowledge of Retrieval-Augmented Generation (RAG) models.

• Proven experience in prompt engineering

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

• Proficiency in data preprocessing and feature engineering techniques.

• Excellent problem-solving skills and attention to detail.

• Strong communication and teamwork abilities.

Preferred Skills:

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Knowledge of natural language processing (NLP) techniques.

• Familiarity with version control systems (e.g., Git).

• 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:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• 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

We’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. We’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. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’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.