Senior Software Engineer I – AI Engineering

Are you excited about shaping the future of generative AI in a global technology environment?

Do you enjoy building scalable, production-ready AI services that deliver real-world impact?

About the Team

Our team builds LeapSpace, the research companion for the people working at the frontier of human knowledge: researchers, clinicians, and innovators advancing science, healthcare, and life sciences. We help them ask better questions, follow ideas across disciplines, and reach decisions they can stand behind.

LeapSpace fits into the real workflow of a researcher. It reads with them, drafts with them, and remembers context across a project, so the heavy lifting of reviewing literature, comparing evidence, and structuring arguments becomes lighter and faster. Our team shapes every part of that experience, from the moment a user types a question to the moment they cite a result in their work.

As part of this mission, the AI Engineering 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.

About the Role

We are seeking a Senior Software Engineer I with a passion for generative AI and platform architecture. In this role, you will 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 mentoring other engineers and help evolve our engineering practices.

Responsibilities

• Design, develop, and maintain generative AI services and reusable components using mostly Python and a little bit of Java.
• Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
• Contribute to system designs spanning multiple services and modules, aligning with architectural 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.
• Contribute to the resolution of complex technical challenges across distributed systems.
• 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 the latest developments in generative AI and advocate for responsible integration into product ecosystems.

Requirements

• 5+ years of software engineering experience.
• Solid understanding of software development methodologies and data modeling principles.
• Deep expertise in Python and Java.
• Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).
• Strong 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.

Work in a Way That Works for You

We promote a healthy work-life balance across the organization. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

About the Business

Elsevier is a global information analytics business that helps institutions and professionals advance healthcare, open science, and improve performance for the benefit of humanity.