Senior Machine Learning Engineer Iii ***raleigh, Nc***
Case Law Reporter
Raleigh, NC, US
Base: $118,300 - $219,800; bonus: eligible for ann...
Hybrid - 3 days onsite
Production ml/llm system implementation
Rag pipeline and prompt orchestration
Agentic systems with langchain or autogen
Case Law Reporter is seeking a Senior Machine Learning Engineer III in Raleigh, NC, to lead the implementation and scaling of AI systems for legal products. The role emphasizes system architecture and productionization of machine learning solutions, requiring strong technical expertise in LLM applications and cloud-native development
Job Summary
This role focuses on leading the implementation and scaling of AI systems for legal products by owning system architecture and productionization.
You will partner with Data Scientists to turn validated models into reliable, high-performance customer-facing systems using hybrid search and agentic workflows.
The position offers a competitive base pay range of $118,300 to $219,800 with eligibility for an annual incentive bonus.
Matching Summary
Match Score: 85
Case Law Reporter is seeking a Senior Machine Learning Engineer III in Raleigh, NC, to lead the implementation and scaling of AI systems for legal products. The role emphasizes system architecture and productionization of machine learning solutions, requiring strong technical expertise in LLM applications and cloud-native development.
Salary
Base: $118,300 - $219,800; Bonus: Eligible for annual incentive bonus; Benefits: Country specific benefits available
Skills & Requirements
Must-have
Production ML/LLM system implementation
RAG pipeline and prompt orchestration
Agentic systems with LangChain or AutoGen
Hybrid search semantic and lexical
AWS cloud-native distributed systems
Python and systems languages Rust Go Scala
Docker Kubernetes containerization
Nice-to-have
Experience with Terraform infrastructure as code
Big data technologies Spark Hadoop
Graph database familiarity Dgraph Neo4j
High-availability low-latency system design
Legal or regulatory domain experience
DevOps and CI/CD best practices
Key Requirements
Bachelor's degree in Computer Science or Engineering
Strong experience implementing production ML/LLM systems
Deep expertise in LLM application development and RAG
Expertise in distributed systems and AWS services
Proficiency in Python and systems languages like Rust or Go