Senior Software Engineer II
RELX is hiring a Senior Software Engineer II. It pays $95k-$159k a year and Level rates it ; you can apply on Level.
AI in this role
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
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.
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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:
How we rate this
Senior Software Engineer II at RELX rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Walk me through how you've used OpenAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, AI Safety, and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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