Lead ML Systems Engineer: Production AI & LLM Architect

RELX Inc. Company; North Carolina; Hybrid; USD 118,000 - 220,000; Full time

Job summary

LexisNexis Legal & Professional in Raleigh, NC is seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This full-time role is hybrid—3 days in office.

You will own system architecture, infrastructure, and productionization of ML/LLM solutions, partnering with Data Scientists to turn validated models into reliable, high‑performance customer-facing systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Extensive experience scaling production ML/LLM systems.
• Experience with RAG and prompt orchestration.
• Designing agentic systems with multi-step workflows in production.
• Hybrid search using semantic and lexical methods.
• Distributed systems and cloud-native development on AWS.
• Python proficiency; experience with Rust/Go/Scala.
• Experience building scalable APIs (REST/GraphQL) and containers.

Responsibilities

• Architect and implement scalable ML/LLM systems in production.
• Build and deploy LLM applications, including RAG pipelines and agentic systems.
• Implement hybrid search systems using embeddings and search platforms.
• Develop APIs, microservices, and model serving infrastructure.
• Build data pipelines and streaming systems for large-scale data processing.
• Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.
• Optimize systems for latency, scalability, reliability, and cost efficiency.
• Establish best practices for deployment, monitoring, observability, and CI/CD.
• Collaborate with Data Scientists to productionize models and integrate into products.
• Provide technical leadership in system design and engineering standards.

Skills

ML/LLM production systems

Python

Distributed systems

AWS

REST/GraphQL

CI/CD

LangChain

Docker

Kubernetes

Education

Bachelor’s degree in Computer Science or Engineering

Tools

OpenSearch

Terraform

Jenkins

LangChain

AutoGen

Job description

LexisNexis Legal & Professional in Raleigh, NC is seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This full-time role is hybrid—3 days in office.

You will own system architecture, infrastructure, and productionization of ML/LLM solutions, partnering with Data Scientists to turn validated models into reliable, high‑performance customer-facing systems.