Principal Software Engineer-Agentic AI at Elsevier

You're a seasoned Principal Software Engineer with a strong background in designing and building agentic AI systems. **What makes it worth a look...** This ful

Work type: onsite

Location: St Louis, MO | Houston, TX | Raleigh, NC

Salary: $115,400 – $192,300/yr

Type: Full-time

Summary

You're a seasoned Principal Software Engineer with a strong background in designing and building agentic AI systems. **What makes it worth a look...** This full-time, on-site role at Elsevier in St Louis, MO, Houston, TX, or Raleigh, NC offers a U.S. National Base Pay Range of $115,400 - $192,300 and is eligible for an annual incentive bonus. **You might be a good fit if you...** * Have designed, built, or integrated agentic AI systems (e.g., autonomous workflows, AI copilots). * Possess hands-on experience with LLMs and orchestration frameworks like LangChain or OpenAI APIs. * Can design tool-augmented agents using function calling, RAG, memory systems, and planning/execution loops. * Understand AI system architecture including latency, cost optimization, and reliability.

Job Description

Are you a collaborative Agentic AI Engineer looking to work for a mission driven global organization?

About the team: 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. 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. We focus on developing robust, efficient systems that transform and manage complex data, supporting innovation across Elsevier’s health education ecosystem.
[https://evolve.elsevier.com/education/](https://evolve.elsevier.com/education/)

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. In this role, you will lead the development of advanced content ingestion and processing systems, driving architectural decisions and engineering best practices across the team. You will collaborate closely with cross-functional partners, mentor engineers, and contribute to building resilient, high-performance platforms that support mission-critical products. This position offers the opportunity to influence technical strategy, champion innovation, and shape the future of content engineering within Elsevier Health Education.

Requirements.

Agentic AI & Advanced Tooling:
• Experience designing, building, or integrating agentic AI systems (e.g., autonomous workflows, multi-step reasoning agents, AI copilots).
• Hands-on experience with LLMs and orchestration frameworks (e.g., LangChain, OpenAI APIs, or similar).
• Ability to design tool-augmented agents (function calling, retrieval-augmented generation, memory systems, planning/execution loops).
• Experience with prompt engineering, evaluation, and guardrails for production-grade AI systems.
• Understanding of AI system architecture, including latency, cost optimization, observability, and reliability of agent workflows.
• 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.

Responsibilities:

Architect and deliver autonomous workflows, multi-step reasoning agents, and AI copilots that solve complex business problems across the organization.
Design scalable solutions leveraging large language models, orchestration frameworks (e.g., LangChain, OpenAI APIs), and modular service patterns to enable reusable AI capabilities.
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.
Design and enforce controls for hallucination mitigation, output validation, policy compliance, and safe execution of AI-driven workflows.
Optimize latency, throughput, and cost efficiency of AI systems while ensuring high availability, observability, and fault tolerance across agent workflows.
Architect solutions using embeddings, vector databases, and hybrid search techniques to enable accurate, scalable knowledge retrieval.
Embed AI services into existing products, APIs, and developer workflows, ensuring seamless interoperability with enterprise systems and data sources.
Partner with product, data, and engineering leaders to define AI roadmaps, prioritize initiatives, and align solutions with business objectives.
Ensure systems adhere to standards for fairness, bias mitigation, transparency, and governance, while meeting regulatory and organizational compliance requirements.
Provide technical leadership, guide architectural decisions, and mentor engineers in building scalable, maintainable AI systems.
Stay at the forefront of advancements in AI/ML, agent frameworks, and tooling, and drive adoption of innovations that create competitive advantage.

Elsevier employs 10,000 people worldwide, including over 2,500 technologists. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress.

Digital solutions such as [ScienceDirect](https://beta.elsevier.com/products/sciencedirect),  [Scopus](https://beta.elsevier.com/products/scopus), [SciVal](https://beta.elsevier.com/products/scival), [ClinicalKey](https://beta.elsevier.com/products/clinicalkey) and [Sherpath](https://beta.elsevier.com/products/sherpath) support strategic [research management](https://beta.elsevier.com/solutions/research-analytics-management-evaluation), [R&D performance](https://beta.elsevier.com/industry), [clinical decision support](https://beta.elsevier.com/solutions/clinical-decision-support), [medical education](https://beta.elsevier.com/solutions/medical-education), and [nursing education](https://beta.elsevier.com/solutions/nursing-education). Researchers and healthcare professionals rely on over 2,800 journals, including [The Lancet](https://www.thelancet.com/) and [Cell](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cell.com%2F&data=05%7C01%7Ca.krull%40elsevier.com%7C02a34278215148dfdc6f08dbb76cef26%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638305450741889521%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=shay6Zh%2Bp%2Bp%2B2c0X7AohZoVmt9Y90vAk41xGBqY%2BcD8%3D&reserved=0); 46,000+ eBook titles; and iconic reference works, such as Gray's Anatomy. With the [Elsevier Foundation](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Felsevierfoundation.org%2F&data=05%7C01%7Ca.krull%40elsevier.com%7C02a34278215148dfdc6f08dbb76cef26%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638305450741889521%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=aJ1nlgHeC5IYEmKUolJbNsY1e9iUybkwEuliX0vs8ks%3D&reserved=0) and our external [Inclusion & Diversity Advisory Board](https://beta.elsevier.com/about/inclusion-diversity-and-equity/board), we work in partnership with diverse stakeholders to advance [inclusion and diversity](https://beta.elsevier.com/about/inclusion-diversity-and-equity) in science, research and healthcare in developing countries and around the world. 

Elsevier is part of [RELX](https://www.relx.com/) a global provider of information-based analytics and decision tools for professional and business customers.

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

This job is eligible for an annual incentive bonus.

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