Senior Machine Learning Engineer III Raleigh, NC*

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*** 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 product ionize 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., Lang Chain, Lang Graph, Auto Gen, 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, Open Search).
* 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, Lang Chain, Google ADK).
* Experience with Dev Ops and infrastructure as code (e.g., Terraform, Cloud Formation, 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…