Elsevier
Senior Software Engineer - Retrieval-Augmented Generation (RAG)
Philadelphia, PA, USA · Senior
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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.
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$18,559 more — $113,859 — moves this role to Level II and 2 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 $113,859 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · 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.
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About the role
- Job title: Senior Software Engineer II – Retrieval-Augmented Generation (RAG) System
- About the role, we are seeking an experienced engineer to work with a team to build and support a healthcare centered production-scale RAG system that combines document retrieval with response generation to deliver accurate, context-aware answers. This engineer we be expected to design, implement, and operate end-to-end RAG pipelines— LLM interaction, API
Responsibilities
- Ingesting and normalizing documents from diverse sources
- Building scalable, low-latency services and APIs (Python preferred; other languages acceptable) and ensure production-grade reliability (monitoring, tracing, alerting)
- Integrating with vector databases and embedding pipelines and optimize for latency, throughput, and cost
- Developing robust data pipelines and governance around ingestion, provenance, quality checks, and access controls
- Deep understanding of retrieval-augmented or application-scale NLP systems and practical experience building RAG-like pipelines
Requirements
- 5+ years of professional software engineering experience designing and delivering production systems
- Hands-on experience with ML workflow tooling and MLOps concepts (model serving, versioning, experiments, feature stores, reproducibility)
- Proficiency with cloud infrastructure and modern software practices (AWS/GCP/Azure
- Strong problem-solving skills, excellent communication, and ability to work with cross-functional teams
- Familiarity with data governance, privacy, and security best practices
- Strong programming skills (Python required; NodeJs a plus)
Nice to have
- Experience with agentic workflow tools (LangGraph) and familiarity with prompt engineering for LLMs
- Exposure to working with and evaluating different LLMs
- Knowledge of evaluation methodologies for retrieval and QA systems and the ability to set up A/B tests and dashboards
- Experience with data processing frameworks (SQL, Pandas, Spark) and working with large-scale data pipelines
- Background in performance optimization for low-latency AI services (MLflow)
- Experience with monitoring and logging via New Relic, K9s, Portkey, etc
- Experience with minimizing token usage and cost optimization
- It is one of the largest publishers of academic journals and scholarly literature in the world.
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.
Company info
- We are committed to providing a fair and accessible hiring process.
Equal opportunity
- EEO Know Your Rights.
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.