
Senior Software Engineer II
Oklahoma City, OK · HybridFull-time$95–159K/yrSeen todaySeen in employer's feed today
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Job overview
This role designs and delivers production AI systems, including agentic workflows, LLM-powered pipelines, retrieval-augmented generation, and structured extraction services. It contributes to project planning and system design across multiple systems and data sources, works with business users to turn ambiguous problems into measurable solutions, and mentors junior team members. The position also owns evaluation, deployment, monitoring, and cost and performance of AI workloads.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Oklahoma City, OK
Full time
R118850
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:
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5+ years of software engineering experience, including 2+ years building and shipping LLM-based or ML-based systems to production
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BS in Engineering/Computer Science or equivalent experience required
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Demonstrated track record of owning an AI feature or service end to end: design, evaluation, deployment, and monitoring
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Expert proficiency in TypeScript/Node.js and/or Python; working knowledge of C#/.NET is a plus
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Hands-on experience with LLM platforms and APIs (Azure OpenAI or equivalent), including prompt design, tool/function calling, structured outputs, and model selection tradeoffs
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Experience building RAG pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding/citation
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Strong understanding of schema-driven structured extraction from unstructured data (Zod, Pydantic, JSON Schema) and validation strategies
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Experience with evaluation frameworks for AI systems: golden datasets, LLM-as-judge, precision/recall on extraction tasks, regression testing of prompts and agents
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Strong SQL proficiency and understanding of relational and vector data storage (SQL Server, PostgreSQL, Elasticsearch/vector stores)
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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)
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Strong knowledge of software development best practices, test-driven development, and code review
Responsibilities:
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Design, build, and deploy production AI systems including agentic workflows, RAG services, and extraction pipelines across multiple business units
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Interface with business stakeholders and technical team members to scope AI use cases, define success metrics, and finalize requirements
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Write and review detailed technical specifications and architecture documents for complex AI system components
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Build and maintain evaluation harnesses; establish accuracy, latency, and cost baselines and monitor them in production
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Implement responsible AI practices: data handling, PII controls, hallucination mitigation, auditability, and human review where required
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Own cost and performance of LLM workloads, including model selection, caching, and usage attribution
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Build and maintain CI/CD pipelines and deployment automation for AI services across AWS and Azure environments
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Operate in Agile development environments while collaborating with key stakeholders across engineering, product, and business functions
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Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
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Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
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Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
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Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
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Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
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Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
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Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
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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. Click here (https://www.relx.com/careers/join-us/benefits) to access benefits specific to your location.
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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
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