
Posted 5 days ago
Principal AI Software Engineer
ElsevierPrincipal AI Software Engineer
Requirements
mentoring engineering teams, designing distributed systems, API design, microservices architecture, RAG workflows, LLM integration, vector search, retrieval pipelines
Skills
AIRAGMicroservicesAPILLM
About the role
Responsibilities
- Lead and mentor a team of six direct reports, focusing on career development and team health
- Own the technical strategy and execution for the CK AI Service
- Design and govern retrieval-augmented generation (RAG) workflows and API expansion
- Improve delivery velocity, reduce bottlenecks, and eliminate single points of failure
- Drive standardization and cross-functional alignment as the platform matures
- Collaborate with the Data Science team to drive product roadmaps and feature design
Requirements
- Proven experience mentoring and growing engineering teams
- Deep expertise in designing and delivering distributed systems and APIs at scale
- Hands-on experience designing and implementing RAG workflows
- Strong understanding of LLM integration, orchestration, and embeddings
- Proficiency with vector search, retrieval pipelines, and ranking strategies
- Experience with microservices architecture and system integration
- Ability to define technical strategies that balance short-term delivery with long-term sustainability
Preferred Qualifications
- Experience building AI-powered APIs and services for production environments
- Ability to govern and standardize AI patterns, including evaluation and observability
- Experience establishing scalable team structures and leadership models
About the Company
Elsevier is a global leader in advanced information and decision support for science and healthcare. We provide mission-critical insights through high-quality content and powerful analytics, helping researchers, healthcare professionals, and innovators advance their fields with confidence.
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Elsevier · Philadelphia
