Senior ML Engineer — Production LLM & AI Systems Architect

RELX Inc. Company

Raleigh (NC)

Hybrid

USD 118.000 - 220.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Hybrid work arrangement

Zusammenfassung

RELX is seeking a Consultant-level Machine Learning Engineer in Raleigh, NC to lead the implementation and scaling of AI systems for legal products. You will own system architecture, infrastructure, and productionization of ML/LLM solutions, partnering with Data Scientists to turn validated models into reliable customer-facing systems.

You will design scalable ML applications, including RAG pipelines and agentic workflows, while collaborating across DS, product, and platform teams to ensure high

Qualifikationen

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Strong experience implementing and scaling production ML/LLM systems.
  • Deep experience with LLM application development, including RAG and prompt orchestration.
  • Strong experience designing and implementing agentic systems using agent frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK).
  • Strong experience with hybrid search (semantic + lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).
  • Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).
  • Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).
  • Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).
  • Experience building scalable APIs (REST/GraphQL).
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Strong software engineering fundamentals (system design, testing, CI/CD).

Aufgaben

  • Architect and implement scalable ML/LLM systems in production.
  • Build and deploy LLM applications, including RAG pipelines and agentic systems.
  • Implement hybrid search systems (semantic + lexical) using embeddings and search platforms.
  • Develop and maintain 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.

Kenntnisse

ML/LLM systems
Distributed systems
Python
LLM development
RAG pipelines
Agentic systems
Hybrid search
System design
CI/CD
Data pipelines

Ausbildung

Bachelor’s degree in Computer Science or related field

Tools

Docker
Kubernetes
AWS
Solr/OpenSearch
Kafka
SQS
Redis
LangChain
LangGraph
AutoGen
Google ADK

Jobbeschreibung

RELX is seeking a Consultant-level Machine Learning Engineer in Raleigh, NC to lead the implementation and scaling of AI systems for legal products. You will own system architecture, infrastructure, and productionization of ML/LLM solutions, partnering with Data Scientists to turn validated models into reliable customer-facing systems.

You will design scalable ML applications, including RAG pipelines and agentic workflows, while collaborating across DS, product, and platform teams to ensure high

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