Elsevier
Principal Software Engineer-Agentic AI
St Louis, MO, USA · Principal
Sponsorship not specified$115k-$192kDetected 61 days ago
Vector DatabasesMachine LearningLLMsRAGAgentic AIAI OrchestrationResearchLeadership
About the role
- We are seeking a Principal Software Engineer to join our team and play a key role in designing and delivering scalable, high-impact software solutions.
- This position offers the opportunity to influence technical strategy, champion innovation, and shape the future of content engineering within Elsevier Health Education.
- Understanding of AI system architecture, including latency, cost optimization, observability, and reliability of agent workflows.
Responsibilities
- Lead the design and development of agentic AI systems
- Architect and deliver autonomous workflows, multi-step reasoning agents, and AI copilots that solve complex business problems across the organization.
- Define and implement LLM-powered architectures
- Design scalable solutions leveraging large language models, orchestration frameworks (e.g., LangChain, OpenAI APIs), and modular service patterns to enable reusable AI capabilities.
- Build and optimize tool-augmented agents
- Develop agents that effectively utilize function calling, retrieval-augmented generation (RAG), memory systems, and planning/execution loops to perform reliable, context-aware tasks.
- Create standardized approaches for prompt design, testing, benchmarking, and continuous improvement to ensure high-quality outputs in production environments.
- Implement production-grade guardrails and safety mechanisms
- Design and enforce controls for hallucination mitigation, output validation, policy compliance, and safe execution of AI-driven workflows.
- Drive AI system performance and reliability
Requirements
- Hands-on experience with LLMs and orchestration frameworks (e.g., LangChain, OpenAI APIs, or similar).
- Experience with prompt engineering, evaluation, and guardrails for production-grade AI systems.
- Familiarity with vector databases, embeddings, and retrieval systems.
- Experience integrating AI capabilities into enterprise systems and developer workflows.
- Knowledge of responsible AI practices, including safety, bias mitigation, and governance.
Compensation
- Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
- $115,400 - $192,300.
Benefits
- The Elsevier Healthcare Education (EHE) Data and Content Software Engineering team is responsible for building and maintaining scalable content ingestion pipelines that power critical health education products.
- We focus on developing robust, efficient systems that transform and manage complex data, supporting innovation across Elsevier's health education ecosystem.
- We are delighted to offer country specific benefits.
- Click here to access benefits specific to your location.
Company info
- Our work enables flagship platforms such as Sherpath and HESI, ensuring high-quality, reliable, and timely delivery of educational content to learners and educators worldwide.
- https://evolve.elsevier.com/education/
Equal opportunity
- 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.
- EEO Know Your Rights.
- 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.
Visa & Work Authorization
- 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 orientat
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