AI Engineer - Senior

• Identify high-value opportunities to apply AI and automation across the firm’s legal, client service, and operational workflows
• Design, build, test, and deploy production-ready AI applications, agents, automations, and system integrations
• Develop AI-powered solutions using LLMs, APIs, retrieval systems, structured data extraction, agentic workflows, and other emerging AI technologies
• Integrate AI systems with case-management, CRM, communication, document, database, and other internal business systems
• Collaborate directly with firm leadership, attorneys, and operations teams to understand business problems and translate them into practical technical solutions
• Build systems that automate document review, case analysis, intake, quality assurance, client communications, internal knowledge retrieval, and other high-value workflows
• Establish reliable processes for AI evaluation, testing, monitoring, logging, human review, and continuous improvement
• Design solutions with appropriate security, access controls, auditability, and data protection for confidential and privileged client information
• Measure the performance and business impact of AI systems and continuously improve solutions based on real-world results
• Evaluate emerging AI tools, models, frameworks, and technologies and determine when they can provide meaningful value to the firm

• 4+ years of professional software engineering or application development experience, with recent hands-on experience building and deploying AI-powered applications
• Strong programming experience in Python and/or TypeScript, with the ability to build beyond no-code or low-code automation platforms
• Hands-on experience working with major LLM APIs such as OpenAI, Anthropic, Gemini, or similar platforms
• Experience building AI agents, tool-calling workflows, RAG systems, structured-output pipelines, or other production LLM applications
• Experience working with REST APIs, webhooks, OAuth, databases, and third-party system integrations
• Experience with AI development frameworks or workflow platforms such as LangGraph, PydanticAI, LlamaIndex, n8n, Make, Zapier, or similar tools
• Experience with LLM evaluation, testing, monitoring, reliability, or other methods for improving AI system performance
• Experience with document processing, OCR, embeddings, vector databases, or large-document pipelines is highly preferred
• Experience with cloud platforms such as AWS, Azure, or GCP, as well as Docker and Git, is preferred
• Strong problem-solving and analytical skills with the ability to turn ambiguous business problems into practical technical solutions
• Excellent communication skills and the ability to work directly with attorneys, leadership, and nontechnical team members
• Highly independent, resourceful, and accountable, with a strong bias toward building, testing, shipping, and improving solutions

Requirements:

• Able to provide links to 2-3 AI systems, applications, automations, repositories, or technical projects personally built or substantially contributed to
• Able to clearly explain their individual contributions, technical decisions, architecture, and deployment process for submitted projects

Pulled from the full job description

• Professional development assistance
• Tuition reimbursement
• Parental leave
• 401(k)
• Health insurance
• Retirement plan
• 401(k) matching, * 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Retirement plan
• Tuition reimbursement
• Vision insurance