100% Remote - AI Applications Engineer

AI Applications Engineer

We are an international law firm with offices throughout the United States, Europe, and Asia. The firm advises clients on complex regulatory, litigation, and transactional matters across a broad range of industries, including many of the world's leading companies and organizations.

We are seeking an AI Applications Engineer to design, develop, and implement AI-powered applications that enhance legal workflows and deliver value to our clients. This role will work closely with the AI Engineering team and firm stakeholders to translate complex legal and business needs into secure, reliable, and scalable AI solutions.

This role may work in the Washington, DC office under a hybrid work schedule or fully remote in a firm approved U.S. state.

The ideal candidate combines strong full-stack engineering skills with hands-on experience developing generative AI applications. They will be comfortable working with large language models, retrieval-augmented generation (RAG), cloud services, and sensitive data in a fast-paced, professional services environment.

Key Responsibilities

• Design, develop, test, deploy, and maintain AI-driven web applications using JavaScript, .NET, and Python, with a focus on performance, scalability, and maintainability.
• Develop and optimize prompts, context management strategies, and model outputs for large language model applications, primarily using Claude and Claude Code.
• Integrate Anthropic Claude, Azure AI Foundry, and other model APIs and RESTful services into firm applications in accordance with firm and industry standards.
• Apply RAG and related techniques to improve the accuracy, reliability, and usefulness of AI-generated outputs.
• Build and support internal data-driven tools, dashboards, and the underlying integrations with Azure SQL, Microsoft Graph/Microsoft 365, and on-premises data sources.
• Implement sound security practices across applications, APIs, and data flows, including the secure handling of sensitive data, such as PHI, PII, and controlled unclassified information.
• Use Git and collaborative development practices to support code quality, version control, and effective team delivery.
• Deploy, monitor, and maintain applications hosted on Azure App Services and on-premises servers.
• Partner with attorneys, legal professionals, and business stakeholders to understand needs, define technical requirements, and deliver practical solutions.
• Provide training and ongoing support to legal staff on the effective use of AI applications.
• Create and maintain clear technical and user-facing documentation.
• Stay current on advances in LLMs, web technologies, AI security, and related development practices.

Qualifications

• Four-year degree in Computer Science, Information Systems, or a related field preferred; equivalent experience will be considered.
• Prior experience in a legal or professional service environment is a plus.
• Minimum of three (3) years of web application development using JavaScript, .NET, and Python.
• Minimum of three (3) years of full-stack application development or application system analysis.
• Hands-on experience building LLM / GenAI applications, including RAG, prompt engineering, and agents / tool use, with Claude, Claude Code, ChatGPT Codex, and/or Azure AI Foundry.
• Strong understanding of RAG architecture and prompt engineering techniques.
• Experience with Azure cloud services (App Service, SQL, Service Bus, Entra/AD) and on-premises deployment; Microsoft Graph a plus.
• Strong analytical troubleshooting skills across multiple technical disciplines and areas.
• Proficiency with Git and collaborative development practices.
• Ability to identify practical solutions to complex problems, introducing new technology or refining existing solutions as needed.
• Ability to communicate complex technical information clearly to non-technical, attorney-facing audiences.
• Outstanding customer service, written, and verbal communication skills with stakeholders at all levels.
• Strong personal initiative, judgment, and professionalism.
• High level of confidentiality and discretion.
• Detail-oriented, with strong organizational and time-management skills, and comfortable handling multiple tasks in a fast-paced environment.