Senior AI Systems Engineer — Production LLM Pipelines

Lexis Nexis; Oklahoma City (OK); On-site; USD 95,000 - 159,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Employee Share Purchase Plan

Wellbeing platform

Paid time off and volunteer days

Job summary

LexisNexis is seeking an experienced AI Software Engineer to design and deliver production AI systems, including agentic workflows and RAG pipelines. You will translate ambiguous problems into measurable AI solutions and mentor junior engineers, collaborating with business users and stakeholders.

You will own end-to-end AI features, design architecture, and ensure system reliability, with hands-on work in TypeScript/Node.js or Python and experience with cloud platforms (AWS/Azure) and

Qualifications

• 5+ years of software engineering experience.
• 2+ years building and shipping LLM-based or ML-based systems to production.
• BS in Engineering/Computer Science or equivalent experience.
• Demonstrated ownership of an AI feature or service end to end: design, evaluation, deployment, monitoring.
• Proficiency in TypeScript/Node.js and/or Python; C#/.NET is a plus.
• Hands-on experience with LLM platforms and APIs (Azure OpenAI or equivalent).
• Experience building RAG pipelines: chunking, embedding, retrieval, grounding/citation.
• Strong understanding of schema-driven structured extraction from unstructured data.
• Experience with evaluation frameworks for AI systems and prompts.
• Strong SQL proficiency and relational/vector data storage knowledge.
• Experience with AWS and Azure, including containerized deployment (Docker, Kubernetes).
• Knowledge of software development best practices and test-driven development.

Responsibilities

• Design, build, and deploy production AI systems across multiple units.
• Interface with stakeholders to scope use cases, define success metrics, and finalize requirements.
• Write and review technical specifications and architecture documents for AI components.
• Build and maintain evaluation harnesses and monitor accuracy, latency, and cost in production.
• Implement responsible AI practices: data handling, PII controls, and auditability.
• Own cost and performance of LLM workloads, including model selection and usage attribution.
• Build and maintain CI/CD pipelines for AI services across AWS and Azure.
• Work in Agile environments with cross-functional teams.
• Mentor junior engineers on AI system design and production readiness.

Skills

LLM-based systems

Prompt design

Experience in research and design

Software engineering

SQL proficiency

Education

BS in Engineering/Computer Science

Tools

Python

TypeScript/Node.js

C#/.NET

Azure OpenAI

Docker

Kubernetes

SQL Server

PostgreSQL

Elasticsearch/Vector stores

Job description

LexisNexis is seeking an experienced AI Software Engineer to design and deliver production AI systems, including agentic workflows and RAG pipelines. You will translate ambiguous problems into measurable AI solutions and mentor junior engineers, collaborating with business users and stakeholders.

You will own end-to-end AI features, design architecture, and ensure system reliability, with hands-on work in TypeScript/Node.js or Python and experience with cloud platforms (AWS/Azure) and