Senior AI Engineer

Esquire Deposition Solutions, LLC

AI Senior Engineer at Esquire developing AI-powered services for legal workflows. Designing and deploying intelligent tools to improve deposition processes and transcription accuracy.

Posted 6/30/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsGoogle Cloud PlatformMicroservicesPythonRubyRuby on RailsTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Professional development opportunities
Health insurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Backend DevelopmentFull Stack DevelopmentRAG SystemsDocument ProcessingEmbeddingsAPI DesignCI/CD PipelinesContainerizationInfrastructure as CodeSynchronous and Asynchronous Communication

Soft Skills

Effective CommunicationCollaborationProblem Solving