Senior Software Engineer, Senior AI Engineer

RELX

. Build prototypes and proofs of concept and ship agentic AI solutions to production standards .

Posted 10/12/2026full-timeUnited StatesSenior💰 $86,600 - $144,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building LLM-powered applications and integrating AI capabilities into enterprise workflows, ensuring high code quality and effective communication with stakeholders. Proficient in implementing solutions that capture and evaluate performance metrics against established baselines.

Highest-signal resume keywords

LLM-Powered Application DevelopmentRAG Pipeline ConstructionAI Integration via APIsProficiency in PythonExperience with AWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPrompt EngineeringData Modelling PrinciplesTool-Augmented AgentsAgentic WorkflowsCI/CDTDDSQLJavaTypeScript/JavaScript

Soft Skills

Clear CommunicationCollaboration with Technical Peers

Tools & Technologies

AWSAzureGCPRelational StoresColumnar StoresVector Stores

Industry Keywords

Agent MemoryRetrieval PipelinesObservabilityOutcome Data CaptureEnterprise Workflows

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformJavaJavaScriptPythonSDLCSQLTypeScript

About the role

Key responsibilities & impact

Build prototypes and proofs of concept and ship agentic AI solutions to production standards
Implement and test tool use, retrieval pipelines, and agent workflows
Contribute to evaluation, observability, and guardrails for agentic systems
Integrate AI capabilities into existing enterprise workflows and systems
Maintain high code quality and documentation for reusable patterns
Flag technical risks and blockers early
Interface with technical peers to finalize requirements and complete moderately complex bug fixes
Build reusable solutions, patterns, reference implementations, and starter kits
Implement solutions to capture outcome data against baselines
Work with host-function stakeholders to ensure solutions fit real workflows
Support handover and capability-building so solutions remain owned and operable after the squad moves on

Requirements

What you’ll need

3+ years in software engineering
Hands-on experience building LLM-powered applications in production, including RAG, tool-augmented agents, or agentic workflows
Experience building RAG pipelines, tool-augmented agents, and agentic workflows
Familiarity with prompt engineering, context management, evaluation, and observability
Understanding of agent memory, tools, and retrieval for multi-step tasks
Experience integrating AI into existing systems via APIs and data pipelines
Experience with AWS, Azure, or GCP
Experience with CI/CD, modern SDLC, TDD, and code review
Experience with relational, columnar, and vector stores
Sound data-modelling principles
Proficiency in Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs
Clear written and verbal communication with technical peers and stakeholders
Experience instrumenting solutions to capture usage, productivity, and quality metrics against established baselines

Benefits

Comp & perks

Comprehensive Pension Plan
Generous vacation entitlement and option for sabbatical leave
Maternity, Paternity, Adoption and Family Care leave
Personal Choice budget
Internal communities and networks
Various employee discounts
Recruitment introduction reward
Employee Assistance Program (global)
Working flexible hours
Shared parental leave
Study assistance
Wellbeing initiatives
Annual incentive bonus