Senior Machine Learning Engineer III ***Raleigh, NC***

LexisNexis; Raleigh (NC); Hybrid; USD 118,000 - 220,000; Full time

Job summary

LexisNexis is seeking a Consultant-level Machine Learning Engineer in Raleigh, NC (hybrid—3 days in office). You will own architecture, scaling, and productionization of ML/LLM solutions for legal products, working with DS to turn prototypes into customer-facing systems.

You’ll design RAG pipelines, agentic workflows, and hybrid search, while building scalable APIs and data pipelines. Strong Python, cloud, and distributed systems skills are essential.

Qualifications

• Experience building and scaling production ML/LLM systems.
• Deep expertise in LLM applications, including RAG and prompt orchestration.
• Experience designing agentic systems with established frameworks.

Responsibilities

• Architect and deploy scalable ML/LLM systems in production.
• Build and maintain LLM apps, including RAG pipelines and agents.
• Develop hybrid search solutions (semantic + lexical) with embeddings.
• Create APIs, microservices and model-serving infrastructure.
• Build data pipelines and streaming systems for large-scale data.
• Develop reusable AI/ML infrastructure and libraries.
• Ensure latency, reliability, and cost efficiency; enable CI/CD and observability.

Skills

LLM development

RAG pipelines

Prompt orchestration

LangChain

LangGraph

AutoGen

Google ADK

Distributed systems

Python

REST/GraphQL

Docker

Kubernetes

AWS

Embeddings

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

LangChain

LangGraph

AutoGen

Google ADK

Solr/OpenSearch

Kafka

SQS

Redis

Docker

Kubernetes

Terraform

CloudFormation

Jenkins

Spark

Neo4j

Dgraph

Neptune

S3

DynamoDB

Job description

## .***This is a full-time position based in Raleigh, NC.******(Hybrid - 3 days in office)*****About the Role**We are seeking a **Consultant-level Machine Learning Engineer** to lead the implementation and scaling of AI systems for legal products. This role focuses on *how to build and scale*—owning system architecture, infrastructure, and productionization of ML/LLM solutions.You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.**Key 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 (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.**Required Qualifications*** 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), including orchestration of multi-step workflows in production environments.* 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).**Preferred Qualifications*** Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).* Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).* Experience with big data technologies (e.g., Spark, Hadoop).* Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).* Experience building high-availability, low-latency systems.* Experience in legal or regulatory domains.**Key Competencies*** Strong system architecture and scalability mindset.* Ownership of implementation, performance, and reliability.* Ability to translate data science solutions into production systems.* Cross-functional collaboration with DS, product, and platform teams.* Excellent debugging, optimization, and operational skills.* Clear communication of technical designs and trade-offs.#AIFluentU.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.**We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **to access benefits specific to your location.**We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-855-833-5120.**Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams** **.**Please read our .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:***.