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LexisNexis Risk Solutions · 3 days ago

Senior Software Engineer - Retrieval-Augmented Generation (RAG) System

Pennsylvania

Full-time

Onsite

Mid, Senior Level

$87K/yr - $144K/yr

5+ years exp

LexisNexis Risk Solutions is a part of Elsevier Inc., a leading global information analytics company focused on scientific, technical, and medical research. They are seeking a Senior Software Engineer to build and support a healthcare-centered production-scale RAG system, collaborating with teams to design, implement, and operate end-to-end RAG pipelines.

AnalyticsHealth CareInformation TechnologyInsurTechRisk ManagementSoftware

Culture & Values

H1B Sponsor Likely

Responsibilities

Architecting, implementing, testing, and operating end-to-end RAG workflows:

Ingesting and normalizing documents from diverse sources

Generating and managing embeddings; index and query vector databases

Retrieve relevant passages, apply reranking or fusion strategies, and feed prompts to LLMs

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

Designing and implementing ML Ops workflows: model/version management, experiments, feature stores, CI/CD for ML-enabled services, rollback plans

Developing robust data pipelines and governance around ingestion, provenance, quality checks, and access controls

Collaborating with data engineers to improve retrieval quality (embedding strategies, reranking, cross-encoder models, prompt engineering) and implement evaluation metrics (precision/recall, MRR, QA accuracy, user-centric metrics)

Implementing monitoring and observability for RAG components (latency, success rate, cache hit rate, retrieval quality, data drift)

Ensuring security, privacy, and compliance (authentication, authorization, data masking, PII handling, audit logging)

Qualification

PythonML OpsCloud infrastructureNLP systemsNodeJsData governanceLow-latency servicesProblem-solvingCommunicationCross-functional collaboration

Required

5+ years of professional software engineering experience designing and delivering production systems

Strong programming skills (Python required; NodeJs a plus)

Deep understanding of retrieval-augmented or application-scale NLP systems and practical experience building RAG-like pipelines

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; Docker; Kubernetes; CI/CD)

Strong problem-solving skills, excellent communication, and ability to work with cross-functional teams

Familiarity with data governance, privacy, and security best practices

Preferred

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

Comfortable with design and implementation of security controls for data-intensive AI systems

Benefits

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.

Company

LexisNexis Risk Solutions

Glassdoor4.0

LexisNexis Risk Solutions provides information to assist customers in industry and government in assessing, predicting, and managing risk. It is a sub-organization of ChoicePoint.

Founded in 2000

Alpharetta, Georgia, USA

10001+ employees

https://risk.lexisnexis.com

H1B Sponsorship

LexisNexis Risk Solutions has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2025 (129)

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2023 (86)

2022 (98)

2021 (125)

2020 (53)