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Entry Level Retrieval Augmented Generation Jobs in Raleigh, NC

LexisNexis

Sr Data Scientist II

Raleigh, NC · On-site

... Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering fundamentals and demonstrated ownership of production applications. This role will focus on ...

RELX

Sr Data Scientist II

Raleigh, NC

... Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering fundamentals and demonstrated ownership of production applications. This role will focus on ...

New

LexisNexis

Sr Data Scientist II

Raleigh, NC

... Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering fundamentals and demonstrated ownership of production applications. This role will focus on ...

New

LexisNexis

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

RELX

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

RELX Group plc

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

LexisNexis

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

DPR Construction

MLOps Engineer

Raleigh, NC

Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines * Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use ...

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Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

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

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
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 Entry Level Retrieval Augmented Generation jobs in Raleigh, NC? For Entry Level Retrieval Augmented Generation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Raleigh, NC look for? The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Raleigh, NC are:
Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in Raleigh, NC as of August 2026, with employment types broken down into 67% Full Time, 30% Part Time, and 3% Contract. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution.

Sr AI Engineer (RAG Specialist with Strong Python Skills)

LexisNexis

Raleigh, NC • On-site

$104K - $174K/yr

Full-time

Posted 27 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

187th of 485 rated business services

Job description

*** PLEASE NOTE: This role is on-site/hybrid in Raleigh, NC ***
Are you passionate about building next-generation AI solutions that transform how professionals work with information and insights?
Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role
We are seeking a highly skilled AI Engineer with expertise in 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.
  • Design, build, and deploy agentic AI systems capable of autonomous planning, tool use, and multi-step task execution using frameworks such as LangGraph, AutoGen, or CrewAI.
  • Architect and deploy AI/ML and RAG solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, and S3.
  • 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.
  • Hands-on experience building agentic AI applications, including tool/function calling, multi-agent orchestration, and autonomous workflow design.
  • Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.

Preferred Skills:
  • Experience with cloud platforms, particularly AWS (e.g., SageMaker, Bedrock, Lambda, ECS/EKS, S3); familiarity with Azure or Google Cloud is a plus.
  • Experience with agentic AI frameworks and tooling (e.g., LangGraph, LangChain, AutoGen, CrewAI, AWS Bedrock Agents, Model Context Protocol).
  • AWS certification (e.g., AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect).
  • Knowledge of natural language processing (NLP) techniques.
  • Familiarity with version control systems (e.g., Git).
  • Experience with deploying AI models in production environments.

Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. #AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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