Relx

Relx

Sr AI Engineer (RAG Specialist with Strong Python Skills)

Raleigh, NC · Senior

Sponsorship not specified$105k-$175kDetected 6 days ago
PythonGitAWSGCPAzureCloud PlatformsMachine LearningTensorFlowPyTorchNLPLLMsRAGAgentic AILangGraphAI OrchestrationControlsResearchCommunicationProblem Solving

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.

Responsibilities

  • Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Optimize and fine-tune RAG models for performance and scalability cost saving.
  • 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.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Document AI models, processes, and workflows.

Requirements

  • 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
  • Proficiency in data preprocessing and feature engineering techniques.
  • Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Hands-on experience building agentic AI applications, including tool/function calling, multi-agent orchestration, and autonomous workflow design.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.

Nice to have

  • 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.

Skills

  • 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
  • Working Pattern
  • About the Business

Compensation

  • Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
  • $104,900 - $174,700.

Benefits

  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
  • We are delighted to offer country specific benefits.
  • Click here to access benefits specific to your location.

Equal opportunity

  • qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
  • EEO Know Your Rights.
  • If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Visa & Work Authorization

  • are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientat
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