Senior Software Engineer II
LexisNexis Risk Solutions1 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 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 for production systems.
- Implement responsible AI practices including data handling, PII controls, hallucination mitigation, auditability, and human review.
- Manage the cost and performance of LLM workloads through model selection, caching, and usage attribution.
- Build and maintain CI/CD pipelines and deployment automation across AWS and Azure.
- Collaborate across engineering, product, and business functions in an Agile development environment.
- Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness.
Requirements
- At least 5 years of software engineering experience, including at least 2 years building and shipping LLM-based or ML-based systems to production.
- A BS 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 a plus.
- Hands-on experience with LLM platforms and APIs such as Azure OpenAI, including prompt design, tool/function calling, structured outputs, and model selection tradeoffs.
- Experience building RAG pipelines involving chunking, embedding, hybrid retrieval, reranking, and grounding/citation.
- Strong understanding of schema-driven structured extraction using Zod, Pydantic, or JSON Schema.
- Experience with AI evaluation frameworks, golden datasets, LLM-as-judge methods, extraction precision/recall, and prompt or agent regression testing.
- Strong SQL proficiency and knowledge of relational and vector data storage, including SQL Server, PostgreSQL, and Elasticsearch/vector stores.
- Experience with AWS and Azure compute, storage, networking, IAM, and managed AI services.
- Experience with 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 program.
- 401(k) with match and an Employee Share Purchase Plan.
- Wellness platform with incentives, Headspace subscription, Employee Assistance, and 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 charitable volunteering.
- Country-specific benefits may apply, and geographic differentials may apply to base pay.
- The role is eligible for an annual incentive bonus.
Tech Stack
Categories
About LexisNexis Risk Solutions
LexisNexis Risk Solutions builds data and analytics products for businesses and governments to assess risk, prevent fraud, verify identities, and meet compliance. It sells APIs, decisioning platforms, and curated data sets used across insurance, financial services, healthcare, and public safety. Headquartered in Alpharetta, Georgia, it operates as part of RELX, providing industry-specific solutions such as insurance risk scores and digital identity intelligence.