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Elsevier

Senior Software Engineer I – AI Engineering

Elsevier
🇺🇸In-Person - 2 Locations$180K–$240K/yri48min ago
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Role Snapshot

Senior Software Engineer I focused on designing and developing scalable, production-ready generative AI services at Elsevier's LeapSpace platform for researchers and clinicians. The role involves building reusable AI capabilities, mentoring junior engineers, and translating AI prototypes into enterprise-grade solutions.

Key Responsibilities: Design, develop, and maintain generative AI services using Python and Java; define and promote best practices in scalability, observability, testing, and CI/CD; collaborate with cross-functional teams to productionize AI capabilities; deploy containerized applications in Kubernetes (EKS) environments; mentor less-senior developers on GenAI patterns and platform development.
Skills & Tools: Deep expertise in Python and Java; strong backend development proficiency; hands-on experience with modern AI/LLM frameworks (LangChain, LangGraph); advanced Kubernetes and cloud-native architecture knowledge; expertise in distributed systems, software development methodologies, and data modeling; mentoring and communication capabilities.
Qualifications: 5+ years of software engineering experience with proven track record in production backend systems and cloud-native architectures. Strong understanding of software development methodologies, data modeling, and modern AI/ML integration patterns.
Location: In-Person - 2 Locations
Compensation: $180K–$240K/yr (estimated)

Job Description

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 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. 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: EEO Know Your Rights. 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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