Senior AI & Integration Developer

About Us We''ve originated over 2.7 million clients since 2019 by combining world-class direct response marketing with the most sophisticated data infrastructure in legal. Our marketing has driven over $1 billion in real cash inflows, with $2 billion+ in expected fees pending. We''re the highest volume case originator in the legal vertical-and we did it with a small team of exceptional individuals who believe one brilliant strategy beats 100 mediocre ones. We''re aesthetic empiricists: creativity and marketing expertise create the variants; data makes the final call. The Role We are looking for a Senior AI & Integration Developer with strong JavaScript, Python, and Salesforce integration experience to build frontend and backend solutions for launching new legal campaigns.

Key Responsibilities:

• Design and script advanced web forms (Formstack)
• Build and maintain REST API and iPaaS integrations (Tray.io)
• Manage Salesforce data pipelines
• Write Python scripts for data processing and automation
• Monitor and optimize existing integrations
• Build new intake funnels for new campaigns
• Ensure data flows accurately between internal systems and third-party partners What We''re Looking For AI-Native Builder- You don t just prompt ChatGPT-you ve built production systems that call LLM APIs, handle structured outputs, manage token limits, and recover from failures.

You think about AI as infrastructure, not a novelty. Self-Starter- Must demonstrate the ability to take vague requirements and work through diagnosis, root cause analysis, and implementation independently. This person will often be the sole technical resource on a given problem and cannot rely on step-by-step direction. Organized- Must have a structured approach to task management. Familiarity with Asana is preferred; Jira, Monday.com, Trello, or similar is acceptable. Commitment to keeping tasks documented and communicating status proactively is essential. Attention to Detail- In our domain, a mismatched field name or wrong conditional check can route clients to the wrong law firm or drop data entirely. Candidates should expect a practical assessment that tests their ability to catch subtle errors in code and data.

Technical Must-Haves:

Python - Scripting, data processing, automation, and AI/ML integration. Must have real development experience-not just notebook-style work. JavaScript/HTML/CSS - Solid scripting ability-writing embedded JS within forms and integration tools, not just front-end framework experience.

REST API

Integration - Building and consuming REST APIs. Reading API docs, constructing authenticated requests, parsing JSON, handling errors. ETL / iPaaS Tools - Building multi-step data integration workflows. Tray.io experience is a strong bonus. Make, Workato, MuleSoft, or similar accepted. Form Building - Advanced form logic, conditional fields, multi-step qualification workflows. Formstack preferred; similar platforms (JotForm, FormAssembly, Cognito Forms) accepted. LLM Integration - Hands-on experience building workflows and integrations that call LLM APIs (OpenAI, Anthropic, Google Gemini, or similar). Structuring prompts, parsing structured/JSON outputs, managing context windows, handling retries and error states in production. Prompt Engineering - Demonstrated ability to design, test, and iterate on prompts for real business tasks-not just chat interactions. Experience with system prompts, few-shot examples, chain-of-thought, and output formatting for downstream consumption. RAG Implementation - Experience building retrieval-augmented generation pipelines: document chunking, embedding generation, vector store integration, and retrieval strategies for grounding LLM outputs in source data.

Technical Nice-to-Haves:

ML / PySpark - Experience with ML pipelines, PySpark, or distributed data processing. Classification, data enrichment, and feature engineering use cases. Vector Databases - Hands-on experience with Pinecone, Weaviate, Qdrant, pgvector, or similar for embedding storage and similarity search. Agent Frameworks - Experience with LangChain, LlamaIndex, CrewAI, or similar frameworks for building multi-step, tool-using AI workflows. Data Libraries (Pandas) - Processing CSV, Excel, and JSON files programmatically. Data transformation and cleanup. Salesforce Admin - Flows, validation rules, page layouts, permission sets, object relationships, record types, custom objects. Why Join Us?

Compensation:

competitive salary and bonus opportunity

• Build the

Future:

Create AI tools from scratch with our development team and massive data repository

True Impact:

Your efficiency gains compound exponentially-enabling deployment of exponentially more capital

Real Ownership:

We reward value creation with results-based increases

Elite Team:

Work with individual contributors who are the best in their field The Bottom Line We need someone who gets genuinely excited about finding 2% improvements that compound into 20% by the bottom of the funnel. Someone who believes AI isn''t just a buzzword but the key to scaling human excellence. Someone hungry to advance professionally and financially by creating real value.