Senior AI Engineer (AI Agents & Automation)

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

Qualifications:

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

Pay: $160,000.00 - $220,000.00 per year

Benefits:

Work Location: In person

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AI Engineer - Senior

Job description