Senior AI Engineer

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Esquire Deposition Solutions, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1978

🤝 B2B

☁️ SaaS

B2B • SaaS

Esquire Deposition Solutions, LLC is a global litigation support and court reporting firm that provides in-person, remote, and hybrid court reporting, deposition management, transcript summaries, legal videography, interpreting, audio/video transcription, document translation, and records retrieval for law firms, corporate legal departments, and insurance clients. The company also offers web-based technology platforms (eLitigateZE, EsquireConnect, eDepository) and videoconferencing solutions, dedicated case managers, and secure document storage to schedule and manage depositions worldwide.

📋 Description

• Design, build, and maintain AI-powered APIs for high-volume transcript ingestion, analysis, and structured output delivery • Develop transcript intelligence systems using deterministic processing, LLM-based analysis, and audio review • Build and optimize RAG pipelines, including document parsing, embeddings, vector storage, and retrieval strategies • Develop attorney-facing AI features for deposition preparation, real-time assistance, and post-deposition workflows • Contribute to platform consolidation, service integration, and internal workflow automation • Design, implement, and operate distributed systems using synchronous and asynchronous communication patterns • Debug and maintain services across Rails APIs, TypeScript services, and Google Cloud infrastructure • Collaborate with engineering leadership to define architecture, evaluate trade-offs, and deliver scalable solutions • Write, test, and deploy production code across the full software development lifecycle • Maintain observability across services, including logging, tracing, and error monitoring • Document technical decisions, track work clearly, and communicate progress and blockers effectively

🎯 Requirements

• 7+ years of software engineering experience with a focus on backend or full stack development • Strong programming skills in Python and at least one of TypeScript or Ruby • Demonstrated expertise in AI/ML application development, LLM integration, prompt engineering, evaluation, and AI-assisted development tools • Ability to build and maintain RAG systems, including document processing, embeddings, and retrieval optimization • Experience with cloud infrastructure, preferably Google Cloud Platform, including event-driven architectures • Experience with distributed systems, microservices, API design, CI/CD pipelines, containerization, and infrastructure as code. • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. • Must speak English fluently.

🏖️ Benefits

• Professional development opportunities • Health insurance