Senior GenAI Platform Engineer I

Elsevier; Philadelphia (Philadelphia County); On-site; USD 87,000 - 144,000; Full time

Job summary

Elsevier seeks a Senior Software Engineer I for its Search and AI Platform to design scalable generative AI services and reusable components. You will mentor engineers, set engineering standards, and collaborate across product, platform, and research teams to productionize AI prototypes within a Kubernetes-based environment.

Strong Python and Java expertise, plus cloud-native architecture experience, are essential to delivering reliable AI features across Elsevier’s products.

Qualifications

• 4-6 years of software engineering experience.
• Proven experience contributing to technical architecture for large-scale platforms or services.
• Deep expertise in Python and Java.
• Proficiency with Kubernetes and cloud-native architectures.

Responsibilities

• Lead architectural design and ensure technical consistency.
• Design, develop, and maintain generative AI services and reusable components using Python and Java.
• Define and promote best practices in scalability, observability, testing, and CI/CD.
• Contribute to system designs spanning multiple services and modules, aligned with architecture best practices.
• Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities.
• Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
• Mentor less-senior developers on engineering principles, GenAI patterns, and platform development.
• Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.
• Stay informed of developments in generative AI and advocate for responsible integration into product ecosystems.

Skills

Python

Java

Backend development

CI/CD

Agile/Kanban

Tools

LangChain

LangGraph

EKS

APIs

Job description

Elsevier seeks a Senior Software Engineer I for its Search and AI Platform to design scalable generative AI services and reusable components. You will mentor engineers, set engineering standards, and collaborate across product, platform, and research teams to productionize AI prototypes within a Kubernetes-based environment.

Strong Python and Java expertise, plus cloud-native architecture experience, are essential to delivering reliable AI features across Elsevier’s products.