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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Agent Engineer - **Company:** RELX Group plc - **Location:** Martinsville, IN, United States - **Experience:** Starter - **Salary:** $78,800.0 - $131,300.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Customer Data Management, Data Governance, Data Integration, Data Security, Monitoring of Systems, Performance Tuning, DataOps, Software Engineering, Systems Integration, Lexis, Enterprise Software Applications, Large Language Models, AI Platforms, Pure Data, Virtual Agents, Api Design - **Published:** August 20, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3360095263&tx=FL535FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 1-2 years of experience in a technical or operational role such as data operations, application support, system operations, or AI platform support * Basic understanding of AI concepts such as agents, prompts, workflows, APIs, and automation * Experience working with APIs, enterprise systems, or data integrations * Ability to monitor systems, analyze outputs, and identify patterns or anomalies * Strong attention to detail and a methodical approach to operating production systems * Clear written and verbal communication skills, including the ability to document processes and issues * Comfort working in environments that blend automation with human oversight and escalation * Preferred Qualifications: * Exposure to AI platforms, LLM-based systems, or automation tools * Experience working with guardrails, approval workflows, or human-in-the-loop processes * Familiarity with data governance, security, or compliance concepts * Experience supporting production environments with reliability or uptime considerations, * An AI research or model-training role * A traditional software engineering role * A pure data science or analytics position ## Description Are you excited to help operate and improve AI agents that deliver reliable, real-world outcomes in production environments? Do you enjoy working at the intersection of automation, systems monitoring, and human oversight to ensure safe and high-quality AI performance? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About the Team We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the organization. We build and manage the environments, platforms, and guardrails that allow teams to create, test, and scale AI agents safely and efficiently turning experimentation into real business impact. We're a team of curious builders and operators who are constantly exploring, learning, and applying new AI tools and approaches to solve real-world problems and improve how work gets done., The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and continuous optimization of AI agents and agent-based workflows. The role emphasizes practical execution, system integration, monitoring, and governance controls rather than model development or research., * Support the operational design and execution of AI agents and multi-agent workflows used across business and technology teams * Monitor agent behavior, outputs, and reliability in production environments, identifying performance issues, errors, or unexpected behaviors * Tune and optimize agent configurations, prompts, workflows, and execution logic to improve output quality and operational stability * Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or external data sources * Implement and maintain runtime guardrails, escalation paths, and human-in-the-loop controls to ensure safe and compliant AI operation * Investigate and resolve operational issues related to agent performance, data access, or system integration * Document workflows, configurations, and operational procedures to support repeatability and governance * Collaborate with AI engineers, data teams, platform teams, and business stakeholders to support the controlled rollout of AI capabilities, * An operational, hands-on role focused on running and improving AI agents in production * A bridge between AI engineering, data, and business teams * Focused on reliability, quality, and safe execution ## Related Videos - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Angular tips/tricks you can use from tomorrow on](https://www.wearedevelopers.com/videos/364-angular-tips-tricks-you-can-use-from-tomorrow-on) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [A Guide To Functional Programming](https://www.wearedevelopers.com/videos/408-a-guide-to-functional-programming) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)