AI Senior Engineer

Are you an AI-focused engineer passionate about building production-ready products that transform legal workflows

Join Esquire as an AI Senior Engineera high-impact role where youll build AI-powered services that enhance deposition workflows and help evolve our deposition intelligence platform.

Why Choose Esquire

Esquire is a leader in legal support services known for innovation professionalism and delivering exceptional quality. As part of our team youll help build intelligent tools that improve transcript processing attorney workflows and deposition insights at scale. At Esquire we are focused on Getting it Right for our clients our partners and our employees and we empower our teams to create secure scalable technology that delivers meaningful business value.

About the Role

As an AI Senior Engineer youll design build and deploy AI-powered products and services across the product platform. Youll deliver production-grade transcript intelligence scalable infrastructure RAG-based search and retrieval and attorney-facing AI features that support deposition preparation real-time assistance and post-deposition analysis.

Key Responsibilities

• 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

What Youll Need

• Skills: Strong problem-solving communication organization and technical ownership skills
• AI/ML: Demonstrated expertise in AI/ML application development LLM integration prompt engineering evaluation and AI-assisted development tools
• RAG: Ability to build and maintain RAG systems including document processing embeddings and retrieval optimization
• Technical: Strong programming skills in Python and at least one of TypeScript or Ruby
• Cloud: Experience with cloud infrastructure preferably Google Cloud Platform including event-driven architectures
• Architecture: Experience with distributed systems microservices API design CI/CD pipelines containerization and infrastructure as code
• Experience: 7 years of software engineering experience with a focus on backend or full stack development
• Education: Bachelors degree in Computer Science Engineering or related field or equivalent practical experience
• Attributes: Collaborative low-ego team-first mindset with a commitment to documentation testing and continuous improvement

What Success Looks Like

• Delivery of production-ready AI features within defined timelines including initial deployment within the first 90 days
• Improved transcript processing accuracy scalability and system reliability
• Successful deployment and performance of RAG-based search and retrieval capabilities
• System uptime latency and error rates within acceptable thresholds for high-volume processing
• High-quality maintainable code with strong test coverage and documentation
• Effective collaboration and communication across the engineering team

Work Environment

This is a fully remote position. The position requires focus collaboration and the ability to manage complex technical workstreams while supporting scalable AI product development.

Dont meet every single requirement

Were committed to building a diverse and inclusive workplace. If youre excited about this role but your experience doesnt align perfectly we still encourage you to applyyou may be just the right person for this or other opportunities.

Equal Opportunity & Accommodations:

Esquire Deposition Solutions policy is to provide equal employment opportunities to all applicants and employees without regard to race color religion creed gender gender identity or expression age national origin or ancestry citizenship disability sexual orientation marital status pregnancy veteran status membership in the uniformed services genetic information or any other basis protected by applicable law.

Esquire Deposition Solutions is committed to fair hiring practices. Qualified applicants with criminal histories will be considered for employment in a manner consistent with applicable laws including but not limited to the California Fair Chance Act the Los Angeles Fair Chance Initiative for Hiring Ordinance and the Los Angeles County Fair Chance Ordinance. We also comply with similar laws in other jurisdictions where we operate.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability you have the right to request reasonable accommodation. You can submit your request to .