Job DetailsJob Location: Atlanta Corporate - Atlanta, GA 30344Position Type: Full TimeEducation Level: Bachelor DegreeJob Category: Information TechnologyAre you an AI-focused engineer passionate about building production-ready products that transform legal workflows?
Join Esquire as an AI Senior Engineer—a high-impact role where you’ll 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, you’ll 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, you’ll design, build, and deploy AI-powered products and services across the product platform. You’ll 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 You’ll 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: Bachelor’s 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.
💬 Don’t meet every single requirement?
We’re committed to building a diverse and inclusive workplace. If you’re excited about this role but your experience doesn’t align perfectly, we still encourage you to apply—you 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 talent.acquisition@esquiresolutions.com.
