Senior AI Engineer

FinQuery, Formerly LeaseQuery

Senior AI Engineer developing and scaling LLM-powered services for accounting automation. Collaborating with finance teams to enhance contract management systems and operational efficiencies.

Posted 5/12/2026full-timeAtlanta • 🇺🇸 United StatesSenior💰 $169,752 - $206,200 per yearWebsite

Tech Stack

Tools & technologies

AWSPython

About the role

Key responsibilities & impact

Build and scale production LLM-powered services, including context engineering, prompt design, and agentic workflows
Develop and operate autonomous AI agents, owning the full lifecycle from prototype to ongoing maintenance
Design and execute evaluations for AI/ML systems to drive architectural decisions and share findings cross-functionally
Contribute to shared AI platforms and internal tooling that enable other teams to deploy and monitor AI features
Write production-grade Python code designed for long-term extensibility and team ownership
Serve as a technical consultant to product and UX teams on AI feasibility, tradeoffs, and architecture
Monitor and optimize AI/ML services for latency, cost-efficiency, and high-volume throughput
Troubleshoot production system health and identify solutions to reduce technical debt and performance degradation
Design AI capabilities with strict adherence to data privacy and compliance standards for financial data
Stay current on emerging AI/ML techniques to raise the collective engineering standard of the team

Requirements

What you’ll need

3+ years of professional software or AI/ML engineering experience with a focus on production LLM services
Proven track record of developing, running, and evaluating autonomous agents in a production environment
Strong Python proficiency with the ability to write clean, maintainable, and reliable code
Solid understanding of agent architectures and the ability to resolve system failures under time pressure
Knowledge of performance optimization, including latency, throughput, and cost management for AI services
Familiarity with data privacy and compliance considerations for systems handling sensitive financial data
Experience with various LLM models (OpenAI, Anthropic, open-source) and modern AI development tools
Ability to communicate complex technical concepts and tradeoffs to both technical and non-technical partners
Minimum of a four-year degree in Computer Science, Engineering, Mathematics, or equivalent experience
Full end-to-end AI/ML lifecycle experience including ideation, deployment, and maintenance at scale (preferred)
Practical experience with the AWS AI/ML stack and document processing using LLMs (preferred)
Experience mentoring other engineers and familiarity with uv for Python project management (preferred)

Benefits

Comp & perks

Annual employee development program stipend of $2,000 for each employee
Mentorship program (available immediately)
Sabbatical program (4 weeks after 5 years of service)
Advancement opportunities based on results, not politics
401(k) plan with employer matching
Signing stipend for a work-from-home setup
Great health benefits with multiple plan option
Flexible PTO (including 11 holidays and your birthday off)
Free gym membership at our office (Atlanta HQ)
Casual dress environment (when in office)
Catered lunches every Tuesday & Thursday (when in office)
Parental Leave Benefits
Fertility/Adoption Assistance
Annual tutoring stipend for your children

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAI/ML engineeringLLM servicesautonomous agentsperformance optimizationdata privacycompliance standardsLLM modelsAI development toolsend-to-end AI/ML lifecycle

Soft Skills

communicationtechnical consultingproblem-solvingmentoringcross-functional collaboration

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Mathematics