1 day ago
Oklahoma City, OK, USASenior
Base Salary
$95k - $159k/yr
Responsibilities
- Design, build, and deploy production AI systems including agentic workflows, RAG services, and structured extraction pipelines.
- Collaborate with business stakeholders and technical teams to scope AI use cases, define success metrics, and finalize requirements.
- Write and review technical specifications and architecture documents for complex AI system components.
- Build and maintain evaluation harnesses and establish accuracy, latency, and cost baselines.
- Implement responsible AI practices including data handling, PII controls, hallucination mitigation, auditability, and human review.
- Own LLM workload cost and performance through model selection, caching, and usage attribution.
- Build and maintain CI/CD pipelines and deployment automation across AWS and Azure.
- Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness.
Requirements
- 5+ years of software engineering experience, including 2+ years building and shipping LLM-based or ML-based systems to production.
- Bachelor's degree in Engineering or Computer Science, or equivalent experience.
- Demonstrated ownership of an AI feature or service from design through evaluation, deployment, and monitoring.
- Expert proficiency in TypeScript/Node.js and/or Python; C#/.NET experience is preferred.
- Hands-on experience with LLM platforms and APIs, including prompt design, tool or function calling, structured outputs, and model selection tradeoffs.
- Experience building RAG pipelines involving chunking, embedding, hybrid retrieval, reranking, and grounding or citation.
- Strong understanding of schema-driven structured extraction and validation using technologies such as Zod, Pydantic, and JSON Schema.
- Experience with AI evaluation frameworks, golden datasets, LLM-as-judge approaches, extraction precision and recall, and prompt or agent regression testing.
- Strong SQL proficiency and understanding of relational and vector data storage, including SQL Server, PostgreSQL, and Elasticsearch or vector stores.
- Experience with AWS and Azure, containerized deployment, secrets management, and observability for token usage, latency, and cost attribution.
- Strong knowledge of software development best practices, test-driven development, and code review.
Benefits
- Medical, dental, and vision benefits through a multi-carrier health program.
- 401(k) with company match and an Employee Share Purchase Plan.
- Wellness platform with incentives, Headspace subscription, Employee Assistance, and paid time-off programs.
- Short- and long-term disability, life and accidental death insurance, critical illness, and hospital indemnity coverage.
- Family benefits including bonding and family care leaves, adoption, and surrogacy benefits.
- Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts.
- Annual paid time off plus up to two paid days each for Employee Resource Group participation and volunteering.
- Country-specific benefits and hiring accommodations are available.
Tech Stack
Categories
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.