Applied AI Engineer

Role Overview

Partner with internal teams and enterprise stakeholders to build AI-powered applications and workflows on top of LexisNexis AI platforms, legal content, and AI-powered workflows and agent-based capabilities. Work directly with engineering, AI engineering, and data science teams to design and implement production AI applications, agent workflows, and scalable LLM-powered experiences.

What You Will Do

Spend real time with lawyers, legal operations teams, and internal subject-matter experts to develop a strong understanding of customer workflows and operational challenges. Collaborate with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.

Why It Might Be a Fit

The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments. Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams.

Requirements

• 6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role
• Strong production experience building LLM-powered applications and deployment at scale
• Strong programming skills in Python and experience building scalable production services and APIs
• Experience designing and implementing AI application architectures in cloud-native environments
• Hands-on experience with modern AI engineering frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, MCP, or equivalent systems
• Experience building AI workflows involving retrieval, tool calling, orchestration, context management, and structured generation
• Familiarity with AI observability, evaluation frameworks, and production monitoring
• Experience deploying and operating AI systems on AWS, Azure, or GCP
• Comfortable working in evolving environments and collaborating across teams to deliver AI-powered features and workflows
• Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams

Benefits

• Annual incentive bonus
• Country-specific benefits
• Fair and accessible hiring process
• Equal opportunity employer