Senior Software Engineer I

Senior Software Engineer I – Search and AI Platform

About the Team

Our team is dedicated to unlocking the rich knowledge embedded within Elsevier’s content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.

As part of this mission, the AI Platform team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services enabling downstream teams to integrate cutting-edge GenAI features with confidence.

The Role

We are seeking a Senior Software Engineer I with a passion for generative AI and platform architecture. In this role, you will drive architectural decision and set engineering standard and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentor other engineers and help evolve our engineering practices.

Responsibilities

• Leading architectural design and ensure technical consistency.

• Designing, developing, and maintain generative AI services and reusable components using mostly Python and a little bit Java.

• Defining and promote best practices in engineering, including scalability, observability, testing, and CI/CD.

• Contributing to system designs spanning multiple services and modules, aligning with architectural best practices.

• Collaborating with product, platform, and research teams to translate AI prototypes into production-ready capabilities.

• Working within a Kubernetes (EKS) environment to deploy scalable, containerized applications.

• Leading the resolution of complex technical challenges across distributed systems.

• Mentoring less-senior developers on engineering principles, GenAI patterns, and platform development.

• Participating in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.

• Staying informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.

• What We’re Looking For

• 4-6 years of software engineering experience.

• Proven experience contributing to technical architecture for large-scale platforms or services.

• Solid understanding of software development methodologies and data modeling principles.

• Deep expertise in Python and Java.

• Proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).

• Experience with Kubernetes (EKS) and cloud-native architectures.

• Proven track record building scalable backend systems and APIs.

• Experience mentoring engineers and contributing to architectural decisions.

• Ability to work collaboratively across functions in an Agile or Kanban environment.

• Nice to Have

• Experience operationalizing LLMs or building internal AI platforms.

• Familiarity with observability practices (metrics, logging, alerts).

• Exposure to knowledge graphs or semantic search systems.

• U.S. National Base Pay Range: 86,600 - 144,400. Geographic differentials may apply in some locations to better reflect local market rates.

• If performed in Maryland, the base pay range is 90,900 - 151,700. If performed in New Jersey, the base pay range is 102,333 - 163,467.

• 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 here to access benefits specific to your location.

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• We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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• About Us

• Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.

• We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.

• We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.

• With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.

• Elsevier is part of RELX Group.

• Let’s shape progress together. Join us.

• elsevier.com/about/careers

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