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Sr AI Engineer; RAG Specialist Strong Python Skills

Job in High Point, Guilford County, North Carolina, 27264, USA
Listing for: LexisNexis Risk Solutions
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 104900 - 174700 USD Yearly USD 104900.00 174700.00 YEAR
Job Description & How to Apply Below
Position: Sr AI Engineer (RAG Specialist with Strong Python Skills)

This role is on-site/hybrid in Raleigh, NC. The AI Engineer will develop cutting‑edge Retrieval-Augmented Generation (RAG) solutions to transform how professionals work with information and insights.

Key Responsibilities
  • Test, evaluate, and implement RAG AI models.
  • Apply prompt engineering and testing to deliver desired outcomes.
  • Collaborate with cross‑functional teams to integrate AI solutions into existing systems.
  • Optimize and fine‑tune RAG models for performance, scalability, and cost efficiency.
  • Conduct ongoing research on AI and machine learning advances.
  • Design, build, and deploy agentic AI systems for autonomous planning, tool use, and multi‑step task execution using frameworks such as Lang Graph, Auto Gen, or CrewAI.
  • Architect and deploy AI/ML and RAG solutions on AWS (Sage Maker, Bedrock, Lambda, S3).
  • Write clean, efficient, maintainable Python code.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Troubleshoot and debug models in a mono‑repo environment.
  • Document AI models, processes, and workflows.
Qualifications
  • Proven experience as an AI Engineer or similar role.
  • Strong proficiency in Python programming.
  • Deep knowledge of RAG models.
  • Hands‑on experience with prompt engineering.
  • Experience with machine learning frameworks (Tensor Flow, PyTorch).
  • Proficiency in data preprocessing and feature engineering.
  • Experience building agentic AI applications (tool/calling, multi‑agent orchestration, autonomous workflow).
  • Demonstrated experience with AWS services for AI/ML solution development and deployment.
  • Excellent problem‑solving, attention to detail, and communication skills.
Preferred Skills
  • Additional cloud platform experience (Azure, Google Cloud).
  • Experience with agentic AI frameworks (Lang Chain, Lang Graph, Auto Gen, CrewAI, AWS Bedrock Agents, Model Context Protocol).
  • AWS certifications (Machine Learning – Specialty or Solutions Architect).
  • Knowledge of NLP techniques.
  • Familiarity with version control (Git) and production deployment.
Benefits

Competitive base salary ($104,900 – $174,700) with annual incentive bonus. Flexible work hours, comprehensive wellness and wellbeing initiatives, shared parental leave, study assistance and sabbaticals.

We are an equal‑opportunity employer. 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. USA job seekers: EEO Know Your Rights.

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