Senior AI Engineer: Build Production-Ready AI for Enterprise

RELX International

Philadelphia (Philadelphia County)

On-site

USD 87,000 - 144,000

Full time

2 days ago
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Benefits offered by this job

Comprehensive Pension Plan
Generous vacation and sabbatical leave
Parental leave and family care leave
Internal communities and networks
Employee discounts
Recruitment introduction reward
Employee Assistance Program (global)

Job summary

Elsevier is seeking a Senior AI Engineer to design and ship AI-powered features within an Innovation Squad, delivering production-grade agentic solutions inside enterprise systems.

You will define technical direction, build retrieval pipelines and tool-augmented agents, and ensure strong observability, evaluation, and guardrails. Collaboration with host-function stakeholders ensures real-world fit and smooth handover.

Qualifications

  • 3+ years of software engineering experience in production AI-powered apps.
  • Experience with building LLM-powered applications (RAG, tool-augmented agents, or agentic workflows).
  • Knowledge of memory, tools, and retrieval in multi-step tasks.

Responsibilities

  • Build prototypes and ship AI-powered features to production standards.
  • Implement and test tool use, retrieval pipelines, and agent workflows.
  • Contribute to evaluation, observability, and guardrails for agentic systems.
  • Integrate AI capabilities into enterprise workflows and systems.
  • Maintain high code quality and documentation for reuse.

Skills

Python
Java
TypeScript/JavaScript
SQL
AI SDKs
AWS/Azure/GCP
CI/CD
TDD
Code review
RAG
Agentic workflows
Prompt engineering
Memory/tools retrieval

Tools

LLM frameworks
APIs

Job description

Elsevier is seeking a Senior AI Engineer to design and ship AI-powered features within an Innovation Squad, delivering production-grade agentic solutions inside enterprise systems.

You will define technical direction, build retrieval pipelines and tool-augmented agents, and ensure strong observability, evaluation, and guardrails. Collaboration with host-function stakeholders ensures real-world fit and smooth handover.

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