Edtech.com's Summary

Elsevier is hiring a Principal Software Engineer-Agentic AI. This role involves leading the design and development of scalable agentic AI systems, including autonomous workflows and AI copilots, while driving architectural strategies and mentoring engineering teams. The engineer will integrate advanced AI technologies into enterprise platforms to support high-impact health education products and influence AI technical direction across the organization.

Highlights

Lead design and development of agentic AI systems including autonomous workflows and multi-step reasoning agents.
Design scalable architectures using large language models (LLMs) and orchestration frameworks like LangChain and OpenAI APIs.
Build and optimize tool-augmented agents with capabilities such as function calling, retrieval-augmented generation, and memory systems.
Establish best practices for prompt engineering, testing, and evaluation for production-grade AI systems.
Implement guardrails and safety mechanisms addressing hallucination mitigation, output validation, and policy compliance.
Optimize AI system performance focusing on latency, throughput, cost efficiency, availability, and observability.
Design and manage retrieval systems utilizing embeddings, vector databases, and hybrid search.
Integrate AI capabilities into existing enterprise products, APIs, and developer workflows.
Champion responsible AI practices including safety, bias mitigation, transparency, and governance compliance.
U.S. base salary range is $115,400 to $192,300, with eligibility for an annual incentive bonus.
Requires experience with agentic AI, LLMs, orchestration frameworks, prompt engineering, AI system architecture, vector databases, and responsible AI principles.
Collaborate cross-functionally with product, data, and engineering teams and mentor engineers to build scalable AI platforms.

Principal Software Engineer-Agentic AI Full 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/

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:

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.
Establish best practices for prompt engineering and evaluation
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
Optimize latency, throughput, and cost efficiency of AI systems while ensuring high availability, observability, and fault tolerance across agent workflows.
Design and manage retrieval systems
Architect solutions using embeddings, vector databases, and hybrid search techniques to enable accurate, scalable knowledge retrieval.
Integrate AI capabilities into enterprise platforms
Embed AI services into existing products, APIs, and developer workflows, ensuring seamless interoperability with enterprise systems and data sources.
Lead technical strategy and cross-functional alignment
Partner with product, data, and engineering leaders to define AI roadmaps, prioritize initiatives, and align solutions with business objectives.
Champion responsible AI practices
Ensure systems adhere to standards for fairness, bias mitigation, transparency, and governance, while meeting regulatory and organizational compliance requirements.
Mentor and elevate engineering teams
Provide technical leadership, guide architectural decisions, and mentor engineers in building scalable, maintainable AI systems.
Continuously evaluate emerging technologies
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, Scopus, SciVal, ClinicalKey and Sherpath support strategic research management, R&D performance, clinical decision support, medical education, and nursing education. Researchers and healthcare professionals rely on over 2,800 journals, including The Lancet and Cell; 46,000+ eBook titles; and iconic reference works, such as Gray's Anatomy. With the Elsevier Foundation and our external Inclusion & Diversity Advisory Board, we work in partnership with diverse stakeholders to advance inclusion and diversity in science, research and healthcare in developing countries and around the world.

Elsevier is part of RELX 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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. 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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: 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.

USA Job Seekers:

EEO Know Your Rights.

Original Job Description

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

Requirements.

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.
Establish best practices for prompt engineering and evaluation
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
Optimize latency, throughput, and cost efficiency of AI systems while ensuring high availability, observability, and fault tolerance across agent workflows.
Design and manage retrieval systems
Architect solutions using embeddings, vector databases, and hybrid search techniques to enable accurate, scalable knowledge retrieval.
Integrate AI capabilities into enterprise platforms
Embed AI services into existing products, APIs, and developer workflows, ensuring seamless interoperability with enterprise systems and data sources.
Lead technical strategy and cross-functional alignment
Partner with product, data, and engineering leaders to define AI roadmaps, prioritize initiatives, and align solutions with business objectives.
Champion responsible AI practices
Ensure systems adhere to standards for fairness, bias mitigation, transparency, and governance, while meeting regulatory and organizational compliance requirements.
Mentor and elevate engineering teams
Provide technical leadership, guide architectural decisions, and mentor engineers in building scalable, maintainable AI systems.
Continuously evaluate emerging technologies
Stay at the forefront of advancements in AI/ML, agent frameworks, and tooling, and drive adoption of innovations that create competitive advantage.

Elsevier is part of RELX 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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

USA Job Seekers:

EEO Know Your Rights.

Let me find your next job.

Thanks - you're signed up.

Principal Software Engineer-Agentic AI

Edtech.com's Summary

Principal Software Engineer-Agentic AI Full Description

Windows Site Reliability Engineer - Senior

Principal Backend Software Engineer (USA Remote)

Principal Backend Software Engineer (USA Remote)

Principal Backend Software Engineer (USA Remote)

Principal Backend Software Engineer (USA Remote)