5 months ago
Raleigh, NC, USASenior
Base Salary
$118k - $220k/yr
Responsibilities
- Architect and implement scalable ML and LLM systems in production.
- Build and deploy LLM applications, including RAG pipelines and agentic systems.
- Implement hybrid search using semantic and lexical search, embeddings, and search platforms.
- Develop APIs, microservices, model-serving infrastructure, data pipelines, and streaming systems.
- Create reusable frameworks, libraries, and infrastructure for AI and ML across teams.
- Optimize systems for latency, scalability, reliability, and cost efficiency.
- Establish deployment, monitoring, observability, and CI/CD best practices.
- Collaborate with Data Scientists to productionize models and integrate them into products.
- Provide technical leadership in system design and engineering standards.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong experience implementing and scaling production ML and LLM systems.
- Deep experience developing LLM applications, including RAG and prompt orchestration.
- Strong experience designing and implementing production agentic systems with agent frameworks such as LangChain, LangGraph, AutoGen, or Google ADK.
- Strong experience with hybrid search, embeddings, and search platforms such as Solr or OpenSearch.
- Expertise in distributed systems and cloud-native development, including AWS services such as S3 and DynamoDB.
- Experience with streaming and messaging systems such as Kafka or SQS and caching systems such as Redis.
- Proficiency in Python and experience with Rust, Go, or Scala.
- Experience building scalable REST or GraphQL APIs and using Docker and Kubernetes.
- Strong software engineering fundamentals, including system design, testing, and CI/CD.
- Preferred experience with ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK, Terraform, CloudFormation, Jenkins, Spark, Hadoop, Dgraph, Neo4j, or Neptune.
- Experience with high-availability, low-latency systems and legal or regulatory domains is preferred.
Benefits
- Full-time hybrid position based in Raleigh, North Carolina, with three days in the office.
- Eligible for an annual incentive bonus.
- Country-specific benefits are provided.
- Accessible hiring accommodations are available.
Tech Stack
Amazon DynamoDBApache HadoopApache KafkaApache SparkAWSDockerGoGraphQLJenkinsKubernetesNeo4jPythonRedisRustScalaTerraform
Categories
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.