27 days ago
Remote, United States or Philadelphia, PA, USASenior
Base Salary
$87k - $144k/yr
Responsibilities
- Lead architectural design and ensure technical consistency across systems.
- Design, develop, and maintain generative AI services and reusable components using primarily Python and some Java.
- Define and promote engineering best practices covering scalability, observability, testing, and CI/CD.
- Contribute to system designs spanning multiple services and modules.
- Collaborate with product, platform, and research teams to productionize AI prototypes.
- Deploy scalable, containerized applications in a Kubernetes/EKS environment.
- Resolve complex technical challenges across distributed systems.
- Mentor less-senior developers on engineering principles, generative AI 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.
- Deep expertise in Python and Java.
- Strong backend development skills and a proven record building scalable backend systems and APIs.
- Understanding of software development methodologies and data modeling principles.
- Familiarity with modern AI/LLM tools and frameworks such as LangChain and LangGraph.
- Experience with Kubernetes/EKS and cloud-native architectures.
- 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 including metrics, logging, and alerts.
- Preferred: exposure to knowledge graphs or semantic search systems.
Benefits
- Annual incentive bonus eligibility.
- Country-specific benefits are provided.
- Geographic differentials may apply based on work location.
- Accommodation and adjustment support is available during the hiring process.
Tech Stack
Categories
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.