Senior Software Engineer II

LexisNexis Risk Solutions is seeking a Senior Software Engineer II to design, build, and deploy production AI systems. This onsite role in Oklahoma City, OK focuses on agentic workflows, LLM-powered pipelines, RAG, and structured extraction services, with end-to-end ownership across evaluation, monitoring, and deployment.

Key Responsibilities

• Design, build, and deploy production AI systems including agentic workflows, RAG services, and extraction pipelines across multiple business units
• Partner with business stakeholders and technical team members 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, establishing accuracy, latency, and cost baselines, then monitoring results in production
• Apply responsible AI practices, including 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 stakeholders across engineering, product, and business functions
• 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
• 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 including 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, including golden datasets, LLM-as-judge, precision/recall on extraction tasks, and 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, covering 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

Technology Stack

• TypeScript, Node.js
• Python
• C#, .NET
• Azure OpenAI
• Zod, Pydantic, JSON Schema
• SQL, SQL Server, PostgreSQL
• Elasticsearch
• AWS, Azure
• Docker, Kubernetes
• CI/CD, Agile

About the Role

In this position, you will perform complex research, design, and software development assignments to deliver production AI systems, including agentic workflows, LLM-powered pipelines, retrieval-augmented generation (RAG), and structured extraction services. You will provide input to project plans, schedules, and methodology for cross-functional AI products, including system design across multiple systems and data sources. You will also mentor more-junior team members and work directly with business users and stakeholders to translate ambiguous, unstructured problems into measurable AI solutions.

Compensation and Location

Location: Oklahoma City, OK (onsite)

Salary: USD 95,300 - 158,800 per year

This job is eligible for an annual incentive bonus. Geographic differentials may apply in some locations to reflect local market rates.

Benefits

• Comprehensive, multi-carrier program for medical, dental and vision benefits
• 401(k) with match and an Employee Share Purchase Plan
• Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
• 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, up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

Equal Opportunity and Hiring Process Notes

• The company is committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, complete the Applicant Request Support Form or contact 1-855-833-5120.
• Criminals may pose as recruiters asking for money or personal information; the organization never requests money or banking details from job applicants.
• Equal opportunity employer: qualified applicants are considered without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or other characteristic protected by law.
• USA Job Seekers: EEO Know Your Rights