Want to know if this job is worth applying to?
Amsterdam, Noord-Holland, Nederland
Onsite
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?
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 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
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.
Working Pattern
Working flexible hours - flexing the times you work in the day to help you fit everything in and work when you are the most productive.
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.
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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
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.
USA Job Seekers: