Senior Machine Learning Engineer III ***Raleigh, NC***
LexisNexis5 months ago
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.
- Develop hybrid semantic and lexical search systems using embeddings and search platforms.
- Build APIs, microservices, model-serving infrastructure, data pipelines, and streaming systems.
- Create reusable AI/ML frameworks, libraries, and infrastructure across teams.
- Optimize systems for latency, scalability, reliability, and cost efficiency.
- Establish deployment, monitoring, observability, and CI/CD best practices.
- Partner with Data Scientists to productionize models and integrate them into products.
- Provide technical leadership in system design and engineering standards.
- Coach others and communicate technical designs and trade-offs clearly.
Requirements
- 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, RAG, and prompt orchestration.
- Strong experience designing and implementing 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, S3, and DynamoDB.
- Experience with streaming and messaging systems such as Kafka or SQS and caching with Redis.
- Proficiency in Python and experience with Rust, Go, or Scala.
- Experience building scalable REST or GraphQL APIs.
- Experience with 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.
- Preferred experience building high-availability, low-latency systems and working in legal or regulatory domains.
Benefits
- Hybrid work arrangement based in Raleigh, NC, with three days in the office.
- Annual incentive bonus eligibility.
- Country-specific benefits are provided.
- Accessible hiring accommodations are available.
Tech Stack
Amazon DynamoDBApache HadoopApache KafkaApache SparkAWSDockerGoGraphQLJenkinsKubernetesNeo4jPythonRedisRustScalaTerraform
Categories
About LexisNexis
LexisNexis builds research, content, and workflow software for legal, regulatory, and business professionals, including the Lexis+ platform and AI‑assisted drafting and analytics tools. It sells subscriptions and licenses to primary law, news, and practical guidance, plus SaaS products for litigation, compliance, and practice management used by law firms, corporate legal, governments, and universities. Founded in 1970 and headquartered in New York City, it is part of RELX and serves customers in 150+ countries.