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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 drive architectural decisions, set engineering standards, 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 mentoring other engineers and help evolve our engineering practices.
Responsibilities
- Leading architectural design and ensuring technical consistency.
- Designing, developing, and maintaining generative AI services and reusable components using mostly Python and a little bit of Java.
- Defining and promoting 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 advocating for responsible integration into product ecosystems.
Requirements
- 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.
- Experience operationalizing LLMs or building internal AI platforms.
- Familiarity with observability practices (metrics, logging, alerts).
- Exposure to knowledge graphs or semantic search systems.
Skills
- Python
- Java
- Generative AI
- Platform Architecture
- Scalability
- Observability
- Testing
- CI/CD
- Kubernetes (EKS)
- Cloud-native architectures
- Backend development
- AI/LLM tools and frameworks
- LangChain
- LangGraph
- Agile
- Kanban
- Observability practices
- Knowledge graphs
- Semantic search systems
Location
- USA
Work Type
- Full-time
Experience Level
- Senior
Salary/Compensations
- $86,600 - $144,400
- $90,900 - $151,700 (Maryland)
- $102,333 - $163,467 (New Jersey)
Benefits
- Eligible for an annual incentive bonus.
- Country specific benefits.
About the Company
- 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.
Equal Opportunity
- 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.