Teams at LexisNexis

Designs and develops cross-system software, provides technical design input, mentors junior engineers, troubleshoots complex issues, works directly with customers, and leads integrations including payment services.

Design, develop, and deploy production ML and Generative AI solutions including RAG pipelines, LLM fine-tuning, prompt engineering, vector search, and model monitoring. Build scalable Python-based ML pipelines, collaborate with engineering and product teams, run experiments/A-B tests, and contribute to architecture and reliability of AI-driven features.

Design, develop, and maintain complex Java-based systems using Apache Camel and Spring Boot. Implement AWS solutions (ECS, Lambda, S3, SQS, Step Functions), resolve security vulnerabilities, integrate payment webservices, mentor junior engineers, and drive development best practices and architecture decisions.