4 days ago
Base Salary
$87k - $144k/yr
Responsibilities
- Lead architectural design and maintain technical consistency across systems.
- Design, develop, and maintain generative AI services and reusable components primarily with Python and Java.
- Define and promote engineering practices for scalability, observability, testing, and CI/CD.
- Design systems spanning multiple services and modules.
- Collaborate with product, platform, and research teams to turn AI prototypes into production-ready capabilities.
- Deploy scalable, containerized applications in a Kubernetes/EKS environment.
- Resolve 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.
- Stay current with generative AI developments and advocate for responsible integration into products.
Requirements
- 4–6 years of software engineering experience.
- Experience contributing to technical architecture for large-scale platforms or services.
- Strong understanding of software development methodologies and data modeling principles.
- Deep expertise in Python and Java.
- Backend development proficiency and familiarity with modern AI/LLM tools and frameworks such as LangChain and LangGraph.
- Experience with Kubernetes, EKS, and cloud-native architectures.
- Track record of building scalable backend systems and APIs.
- Experience mentoring engineers and contributing to architectural decisions.
- Ability to collaborate across functions in Agile or Kanban environments.
- Preferred experience operationalizing LLMs or building internal AI platforms.
- Preferred familiarity with observability practices, knowledge graphs, or semantic search systems.
Benefits
- Country-specific benefits are available.
- The role includes eligibility for an annual incentive bonus.
- Geographic differentials may apply to base pay depending on location.
- The employer provides an accessible hiring process and reasonable accommodation support.
Tech Stack
Categories
About Elsevier
Elsevier builds scientific and medical information products and analytics platforms for researchers, clinicians, and educators. Its portfolio includes journals and databases such as The Lancet, Cell, ScienceDirect, Scopus, and ClinicalKey, sold primarily via institutional subscriptions, licensing, and open-access publishing fees. Founded in 1880 and headquartered in Amsterdam, Elsevier operates as a business of RELX, serving universities, hospitals, corporations, and government research agencies worldwide.