AI Developer
Block LLP · Burbank, California, United States · On-site
Pay: USD 80,000 – 130,000 a year
Posted Sep 24, 2026
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Location: Burbank, CA Employment Type: Full-Time Compensation: $80,000 - $130,000 annually
About the Role
Block LLP is seeking a hands-on AI Developer to design, build, and maintain AI-powered applications, automations, and integrations that improve how our firm operates.
This role will focus on turning real business and legal workflows into functional technology solutions. The AI Developer will work closely with firm leadership, our AI Implementation team, and departments across the organization to develop internal AI tools that improve efficiency, reduce repetitive work, and help our teams work more effectively.
Unlike a traditional software development role, this position sits at the intersection of software engineering, artificial intelligence, automation, and legal operations. The ideal candidate is comfortable writing code, working with large language models and APIs, experimenting with new technologies, and taking an idea from prototype through deployment.
About Block LLP
Block LLP is a rapidly growing plaintiff personal injury law firm dedicated to delivering exceptional results and exemplary service to our clients. We are passionate about helping injured individuals and families navigate some of life's most challenging moments with compassion, advocacy, and expertise.
Our culture is built around five core values: Vibrant Culture, Teamwork, Relentless Pursuit of Excellence, Dependability, and Exemplary Service. These values guide how we support our clients, collaborate with one another, and approach our work every day.
What You'll Do
AI Application Development
Design, build, test, and maintain internal AI-powered applications and tools.
Develop solutions using large language models (LLMs) and platforms such as OpenAI, Anthropic Claude, Gemini, or comparable technologies.
Build AI assistants and agents that support legal and operational workflows across the firm.
Develop tools for tasks such as document analysis, information extraction, summarization, internal knowledge retrieval, and workflow automation.
Take projects from initial prototype through testing, deployment, and ongoing improvement.
AI Agents & Knowledge Systems
Build AI agents capable of completing multi-step tasks and interacting with firm systems.
Develop retrieval-augmented generation (RAG) solutions that allow AI applications to securely retrieve information from internal documents and knowledge sources.
Create and optimize prompts, agent instructions, tool integrations, and AI workflows.
Build processes to evaluate AI outputs for accuracy, consistency, and reliability.
Improve existing AI applications based on employee feedback, usage, and performance.
APIs & Systems Integration
Build integrations between AI applications and existing firm software using APIs, webhooks, and other integration methods.
Connect AI tools with business systems, databases, document repositories, and third-party applications.
Develop automated workflows that securely move…