Senior Software Engineer AI Agents · Wellsheet at Elsevier
About Wellsheet at Elsevier: Wellsheet is a clinical decision support platform used by more than 20,000 providers across 100+ hospitals. We embed directly in the EHR (Epic, Cerner, Athena) and put AI-generated clinical context in front of clinicians at the bedside. In 2026 Wellsheet became part of Elsevier's Clinical Solutions group, and we're now building the next generation of our product: a new clinical AI experience shipping to our first hospital clients in early 2027, backed by an integration platform we've run in production for years. We're a small, all-senior engineering team. You'll own real surface area from your first weeks, work directly with the people who built the system, and ship software that clinicians use during patient care. No healthcare background is required. We train the clinical and interoperability domain; we hire for engineering judgment.
About the team, The Platform squad runs the machinery underneath everything clinicians see: real-time EHR sync across Epic, Cerner, and Athena, FHIR ingestion for 100+ hospitals, and vocabulary normalization across 125+ clinical terminologies. The squad is led directly by the technical leader behind Wellsheet's platform. Its next major build, which you'll help kick off, is platform API that other Elsevier clinical products and internal teams will consume. The squad also owns the internal tooling for managing the platform and the health of the stack itself, from framework upgrades to developer tooling.
Responsibilities
- Owning agent-powered features end to end: prompt and orchestration logic, backend plumbing, and the UI where the output lands.
- Taking loosely specified feature ideas ("clinicians want the chart review agent to explain itself") through design, implementation, and measured rollout.
- Building and extending eval coverage for the features you ship; nothing ships unmeasured
- Building new ways for agents to present their work, from richer in-chat results to interactive views.
- Improving the synthetic data simulator and the tooling around it
- Work across squad boundaries with Product to land agent features in the clinical experience.
- Pairing with the engineer leading our agent work, ship an improvement to a production agent feature end to end, and add the eval coverage that proves it. By month three you'll own an agent surface outright.
Requirements
- Possess current Software Engineering development skills with TypeScript and Ruby experience; you treat prompts and models as components in a system you're responsible for.
- End-to-end ownership from backend to UI, with the judgment to keep the seams clean.
- Instinct to measure: you'd rather have a small honest eval than a big impressive demo.
- Comfort with ambiguity; much of this work has no established playbook yet.
- AI-assisted development as a default: coding agents and spec-driven development are already part of how you work.
Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world.
Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.
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Skills Required
- 5+ years of Software Engineering experience
- BS in Engineering/Computer Science or equivalent experience
- Advanced knowledge of software development methodologies (Agile, Waterfall)
- Strong proficiency with data manipulation and optimization techniques
- Strong understanding of normalized and dimensional data modeling principles
- Strong knowledge of multiple data storage subsystems
- Expertise in development languages and platforms: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, .Net
- Knowledge of test-driven development
- Strong research skills and knowledge of industry best practices in development
- Ability to write and review detailed specifications and complete complex bug fixes
- Good oral and written communication skills and ability to interface with technical personnel and stakeholders
Elsevier Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elsevier and has not been reviewed or approved by Elsevier.
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Leave & Time Off Breadth — Feedback suggests paid time off spans vacation, holidays, sick days, bereavement, military leave, and volunteer time. Family-related leave options are also emphasized as part of the package.
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Healthcare Strength — Feedback suggests medical, dental, vision, life insurance, wellness initiatives, and an EAP form a comprehensive health offering. Gym support and wellbeing hubs reinforce an ongoing health and wellness focus.
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Retirement Support — Feedback suggests retirement programs include a 401(k)/retirement plan and pension options, with long-term savings vehicles such as an employee stock purchase plan also available. These elements contribute to a sense of financial security beyond base pay.
Elsevier Insights
What We Do
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.
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