Senior Software Engineer II

LexisNexis Risk Solutions; Oklahoma City (OK); On-site; USD 95,000 - 159,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Wellbeing program

Disability insurance

Life insurance

Family benefits

Commuter benefits

Volunteer days

Job summary

LexisNexis Risk Solutions seeks an experienced software engineer to design and deliver production AI systems, including agentic workflows and RAG pipelines, across multiple data sources. You will translate business needs into measurable AI solutions, mentor junior engineers, and collaborate with stakeholders to establish metrics and requirements.

The role emphasizes end-to-end ownership from design to deployment, including evaluation, monitoring, and cost attribution for LLM workloads within AWS

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.
• Strong proficiency in TypeScript/Node.js and/or Python; knowledge of C#/.NET is a plus.
• Hands-on experience with LLM platforms and APIs (Azure OpenAI or equivalent).
• Experience building RAG pipelines and structured extraction workflows.

Responsibilities

• Design, build, and deliver production AI systems including agentic workflows and RAG services across multiple business units.
• Interface with stakeholders to scope AI use cases, define success metrics, and finalize requirements.
• Write and review detailed technical specifications and architecture documents.
• Build and maintain evaluation harnesses; monitor accuracy, latency, and cost in production.
• Own cost and performance of LLM workloads including model selection and caching.
• Build CI/CD pipelines and deployment automation for AI services in AWS and Azure.
• Mentor less‑senior engineers on AI system design and production readiness.

Job description

About The Role

This position performs complex research, design, and software development assignments in the design and delivery of production AI systems, including agentic workflows, LLM-powered pipelines, retrieval-augmented generation (RAG), and structured extraction services. The position provides direct input to project plans, schedules, and methodology for cross-functional AI products; performs system design, typically across multiple systems and data sources; mentors more-junior members of the team; and works directly with business users and stakeholders to translate ambiguous, unstructured problems into measurable AI solutions.

About The Role

This position performs complex research, design, and software development assignments in the design and delivery of production AI systems, including agentic workflows, LLM-powered pipelines, retrieval-augmented generation (RAG), and structured extraction services. The position provides direct input to project plans, schedules, and methodology for cross-functional AI products; performs system design, typically across multiple systems and data sources; mentors more-junior members of the team; and works directly with business users and stakeholders to translate ambiguous, unstructured problems into measurable AI solutions.

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: 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

Responsibilities

• 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

Working For You

• Health Benefits: Comprehensive, multi‑carrier program for medical, dental and vision benefits
• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
• Wellbeing: 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
• In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. 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.