Raleigh AI Engineer: RAG & Agentic AI Specialist

RELX; Raleigh (NC); Hybrid; USD 105,000 - 175,000; Full time

Benefits offered by this job

Wellbeing initiatives

Parental leave

Study assistance

Sabbaticals

Job summary

LexisNexis Legal & Professional in Raleigh, NC is seeking a skilled AI Engineer to advance Retrieval-Augmented Generation solutions. You will develop and optimize RAG models, write Python, and collaborate with cross-functional teams to deploy scalable AI capabilities.

The role emphasizes hands-on model evaluation, prompt engineering, and deploying on AWS services like SageMaker and S3. You will work in a hybrid on-site setting and contribute to responsible AI practices.

Qualifications

• Proven experience as an AI Engineer or similar role.
• Strong proficiency in Python programming and ML workflows.
• Deep knowledge of Retrieval-Augmented Generation (RAG) models.
• Demonstrated experience with AWS cloud services for AI/ML.

Responsibilities

• Test, evaluate 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.

Skills

RAG models

Python

Prompt engineering

TensorFlow

PyTorch

Tools

AWS SageMaker

AWS Bedrock

AWS Lambda

EC2

S3

Job description

LexisNexis Legal & Professional in Raleigh, NC is seeking a skilled AI Engineer to advance Retrieval-Augmented Generation solutions. You will develop and optimize RAG models, write Python, and collaborate with cross-functional teams to deploy scalable AI capabilities.

The role emphasizes hands-on model evaluation, prompt engineering, and deploying on AWS services like SageMaker and S3. You will work in a hybrid on-site setting and contribute to responsible AI practices.