Senior AI Systems Engineer: Production ML & RAG

RELX INC; Oklahoma City (OK); Sur place; USD 95 000 - 159 000; Plein temps

Avantages offerts par ce poste

Health benefits

401(k) with match

Wellbeing program

Disability & life insurance

Family & care benefits

HSAs & commuter spending

Volunteer leave

Résumé du poste

RELX INC in Oklahoma City, OK is seeking a senior AI/ML engineer to design, build, and deploy production AI systems including agentic workflows, RAG pipelines, and structured extraction services.

You will translate ambiguous problems into measurable AI solutions, own end-to-end AI features, and mentor junior engineers while collaborating with business stakeholders across cross-functional teams. Strong TS/Node.js, Python, and SQL skills are required.

Qualifications

• 5+ years of software engineering experience, including 2+ years building and shipping LLM-based or ML-based systems to production.
• BS in Engineering/Computer Science or equivalent experience required
• Demonstrated track record of owning an AI feature or service end to end: design, evaluation, deployment, and monitoring
• Expert proficiency in TypeScript/Node.js and/or Python; working knowledge of C#/.NET is a plus
• Hands-on experience with LLM platforms and APIs (Azure OpenAI or equivalent), including prompt design, tool/function calling, structured outputs, and model selection tradeoffs
• Experience building RAG pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding/citation
• Strong understanding of schema-driven structured extraction from unstructured data (Zod, Pydantic, JSON Schema) and validation strategies
• Experience with evaluation frameworks for AI systems: golden datasets, LLM-as-judge, precision/recall on extraction tasks, regression testing of prompts and agents
• Strong SQL proficiency and understanding of relational and vector data storage (SQL Server, PostgreSQL, Elasticsearch/vector stores)
• Working experience with both AWS and Azure, including compute, storage, networking, IAM, and managed AI services; containerized deployment (Docker, Kubernetes or equivalent), secrets management, and observability (token usage, latency, cost attribution)
• Strong knowledge of software development best practices, test-driven development, and code review

Responsabilités

• Design, build, and deploy production AI systems including agentic workflows, RAG services, and extraction pipelines across multiple business units
• Interface with business stakeholders and technical team members to scope AI use cases, define success metrics, and finalize requirements
• Write and review detailed technical specifications and architecture documents for complex AI system components
• Build and maintain evaluation harnesses; establish accuracy, latency, and cost baselines and monitor them in production
• Implement responsible AI practices: data handling, PII controls, hallucination mitigation, auditability, and human review where required
• Own cost and performance of LLM workloads, including model selection, caching, and usage attribution
• Build and maintain CI/CD pipelines and deployment automation for AI services across AWS and Azure environments
• Operate in Agile development environments while collaborating with key stakeholders across engineering, product, and business functions
• Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness

Connaissances

TypeScript/Node.js

Python

SQL

LLM/ML concepts

Prompt design

Structured extraction knowledge

Formation

BS in Engineering/Computer Science

Outils

Azure OpenAI

AWS

Docker

Kubernetes

SQL Server

PostgreSQL

Elasticsearch/Vector stores

Description du poste

RELX INC in Oklahoma City, OK is seeking a senior AI/ML engineer to design, build, and deploy production AI systems including agentic workflows, RAG pipelines, and structured extraction services.

You will translate ambiguous problems into measurable AI solutions, own end-to-end AI features, and mentor junior engineers while collaborating with business stakeholders across cross-functional teams. Strong TS/Node.js, Python, and SQL skills are required.