4 days ago
Remote, United States or Philadelphia, PA, USAMid Level / Senior
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 for scalability, observability, testing, and CI/CD.
- Contribute to system designs 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 informed about 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.
- 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 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 an Agile or Kanban environment.
- Preferred: experience operationalizing LLMs or building internal AI platforms.
- Preferred: familiarity with observability practices, knowledge graphs, or semantic search systems.
Benefits
- Eligible for an annual incentive bonus.
- Country-specific benefits are available.
- Geographic base-pay differentials may apply, including specified ranges for Maryland and New Jersey.
- Accessibility accommodations are available through the applicant support 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.