Elsevier

Elsevier

AI Prompt Engineer

Philadelphia, PA, USA

Sponsorship not specified$95k-$159kDetected 113 days ago
PythonGitVector DatabasesNLPLLMsRAGAgentic AIResearchCollaboration

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$69,9501 entry
Level II$87,5892 entries
Level III$105,2063 entries
Level IV$122,8454 entries

$9,906 more$105,206 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $105,206 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Quality Assurance Analysts and Testers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Quality Assurance Analysts and Testers (15-1253) · Philadelphia-Camden-Wilmington, PA-NJ-DE-MD. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

Elsevier, Inc. obtained a prevailing wage determination for Software Developers in Maryland Heights, MISSOURI on 2026-06-30. No matching green-card filing appears in our data yet. The determination expires in 21 days (2026-09-27), and a green-card filing must follow before then or the employer starts over.

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are now seeking a AI Prompt Engineer.
  • This role is ideal for someone who has a strong interest in conversational AI technologies and is passionate about creating intuitive, user-friendly experiences for medical professionals.
  • It combines a massive curated medical knowledge base with conversational AI so clinicians can ask questions in natural language and get concise, clinically relevant responses backed by real scientific evidence.

Responsibilities

  • As a Prompt Engineer you will design new conversational AI experiences or enhance existing ones, focusing on improving the interaction patterns between users and conversational AI agents.
  • Using behavioral science principles to design mechanisms that nudge user behavior toward better outcomes.
  • Prototyping conversational experiences and validate them with users to help communicate concepts before they are developed
  • Working closely with Product Managers and Data Scientists to optimize large language models in an agile development environment.
  • Driving the creation and take ownership of Elsevier's Conversational AI design Framework, documenting standards, processes and methods
  • Be an advocate for the Conversational AI Design community of practice and communicate the value of Conversational AI Design to stakeholders
  • In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work.
  • About the role- With the increased development of Generative AI solutions at Elsevier, there is a need for a conversational designer to support AI projects and develop the capabilities in-house.

Requirements

  • Strong Python proficiency
  • experience with large language model APIs (OpenAI, Cohere, Anthropic, etc.).
  • Deep expertise in prompt techniques (zero-shot, few-shot, chain-of-thought, function-calling, role prompts) and evaluation methodologies.
  • Experience with retrieval-augmented generation (RAG), knowledge bases, or RAG pipelines.
  • Experience designing and maintaining a prompt library
  • Familiarity with vector databases or embedding models (e.g., FAISS, Pinecone) and information retrieval concepts.
  • Familiarity with safety, bias mitigation, and privacy considerations in AI systems.

Compensation

  • $95,300 - $158,800.
  • Geographic differentials may apply in some locations to better reflect local market rates.If performed in New Jersey, the base pay range is $107,646 - $171,954.This job is eligible for an annual incentive bonus.

Benefits

  • Elsevier continues to build an innovative team across the globe to develop next generation experiences for Physicians, Nurses, and other Health Care professionals.
  • About the team- This team is building a generative-AI-powered clinical decision support tool designed specifically to help healthcare professionals quickly find trusted, evidence-based answers at the point of care.
  • Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services.
  • We are delighted to offer country specific benefits.
  • Click here to access benefits specific to your location.

Company info

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

Equal opportunity

  • 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

This listing is sourced directly from Elsevier's careers page and normalized into a canonical job model.