Sr. Engineer, AI Application Development

Weil seeks the best and brightest talent to join our Administrative Staff team. Our employees are the future of Weil so we invest in their training and development. Our environment embraces and encourages positive-minded professionals who seek to be challenged and acquire knowledge and skills in an atmosphere built on teamwork. Highly skilled and knowledgeable Administrative Staff assist our attorneys in successfully meeting and exceeding client needs and are vital to the overall success of the Firm.

Job Description

The Sr. Engineer, AI Application Development is a hands-on technical role responsible for the design, development, and deployment of AI-integrated enterprise applications across the Firm. This position bridges traditional software engineering and modern AI capabilities, delivering intelligent, production-ready solutions within our Microsoft and Azure ecosystem. The Sr. Engineer will work closely with the Manager of AI Application Development and other team members to build, evaluate, and maintain AI-powered tools that support attorneys and legal professionals — translating complex AI capabilities into reliable, secure, and scalable applications that align with the Firm’s governance and compliance requirements.

Primary Responsibilities and/or Essential Functions:

AI Application Development

• Design, develop, and maintain AI-integrated applications using modern development frameworks, primarily C#/.NET and Python, and including ASP.NET Core Web APIs, background services, and lightweight Flask/FastAPI services as appropriate.
• Integrate large language model APIs (Anthropic, OpenAI, Google) leveraging structured outputs, tool/function calling, streaming responses, retry and fallback logic, and token/cost management.
• Build clean, functional front-end interfaces for internal tools using React or Vue, ensuring usability for non-technical users such as attorneys and legal professionals.
• Implement telemetry, usage tracking, and user feedback instrumentation to support monitoring, adoption measurement, and iterative improvement of AI features.

Azure & Cloud Infrastructure

• Maintain and enhance CI/CD pipelines using Azure DevOps, following source control best practices with Git.
• Configure and manage Azure SQL and SQL Server databases to support application data needs, including schema design and query optimization.

Security, Governance & Handoff Discipline

• Implement authentication and authorization patterns aligned with firm standards, including Windows Authentication and Azure Active Directory / Entra ID integration.
• Apply secure secrets management practices, audit logging, and appropriate handling of sensitive firm and client data throughout the development lifecycle.
• Produce clear API specifications, data schemas, and deployment guides to support smooth handoffs and long-term maintainability.
• Evaluate AI prototypes built by others for security, scalability, and supportability prior to productionalization into enterprise environments.

Collaboration & Communication

• Partner with the AI Development Manager to align technical work with team priorities and firm objectives.
• Work directly with the LASER team to understand workflow needs, gather requirements, and communicate technical concepts accessibly/clearly.
• Participate in architecture reviews, code reviews, and sprint planning as an active and constructive contributor.
• Maintain documentation of AI integrations, system behaviors, and configuration decisions to support team knowledge sharing.

Knowledge, Skills and Ability:

• 5+ years of software development experience, with demonstrated proficiency in C#/.NET (ASP.NET Core, Web API, background services) and comfort working in Python (Flask or FastAPI).
• Hands-on experience integrating LLM APIs from providers such as Anthropic, OpenAI, Google, et. al., including structured outputs, function/tool calling, streaming, and cost management.
• Experience building functional front-end interfaces using React or Vue for internal tooling or business applications.
• Solid working knowledge of SQL Server and/or Azure SQL, including data modeling, query writing, and integration with .NET applications.
• Working knowledge of authentication and security patterns in Azure environments, including managed identity and secrets management.
• Experience deploying and managing AI applications on Azure, leveraging App Service, etc., as appropriate to the …