Senior Software Engineer II

Posted 3 Days Ago
Be an Early Applicant
Oklahoma City, OK, USA
In-Office
95K-159K Annually
Senior level
Information Technology • Legal Tech • Analytics
The Role
Designs, builds, deploys, and operates production AI systems, including agentic workflows, LLM pipelines, RAG services, and structured extraction. Owns AI feature lifecycles from design and evaluation through monitoring, cost optimization, and responsible AI controls. Collaborates with business and technical stakeholders to define use cases and success metrics, develops architecture and evaluation frameworks, maintains cloud deployment automation across AWS and Azure, and mentors junior engineers.
Summary Generated by Built In

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:


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:


  • 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. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment 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 any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • 5+ years of software engineering experience
  • 2+ years building and shipping LLM-based or ML-based systems to production
  • Bachelor’s degree 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
  • Working knowledge of C#/.NET
  • Hands-on experience with LLM platforms and APIs such as Azure OpenAI, including prompt design, tool/function calling, structured outputs, and model selection
  • Experience building RAG pipelines involving chunking, embeddings, hybrid retrieval, reranking, and grounding/citations
  • Strong understanding of schema-driven structured extraction and validation using Zod, Pydantic, JSON Schema, or similar
  • Experience with AI evaluation frameworks, golden datasets, LLM-as-judge, precision/recall, and regression testing
  • Strong SQL proficiency and understanding of relational and vector data storage
  • Experience with AWS and Azure cloud services, containerized deployment, secrets management, and observability
  • Strong knowledge of software development best practices, test-driven development, and code review

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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