FinQuery

Sr. AI Engineer

FinQuery · Atlanta, GA
Atlanta, GA was $169K–$206K Closed
Applications are closed for this role. It was originally posted 2026-05-11. It’s no longer accepting applicants — see roles FinQuery is still hiring for →, or browse the live openings below.
Salary
$169K–$206K
Type
Full-time
Experience
3+ yr

FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accruals—that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks.
FinQuery is the global leader in lease accounting (as recognized on G2.com) and serves more than 8,500 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years.

Benefits
For Your Growth & Career:
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
For Your Financial Well-being:
401(k) plan with employer matching
Signing stipend for a work-from-home setup
For Your Health & Wellness:
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)
For Your Family & Life:
Parental Leave Benefits
Fertility/Adoption Assistance
Annual tutoring stipend for your children

About Us
FinQuery is an AI-powered contract management and accounting automation company trusted by over 8,000 organizations worldwide. Serving public, private, and government entities, we specialize in automating the accounting for an organization's largest areas of spend—including leases, prepaids, and accruals.

Our intelligent platform abstracts and consolidates source documents to provide a complete system of record. This is what sets us apart: we are the only provider offering this unified view, giving our customers the insight needed to control costs, ensure compliance, and solve the problems that matter most.

FinQuery is an equal opportunity employer to all persons, free from restrictions and prejudice based upon race, color, creed, religion, sex, domestic relationship status, parental status, family status, sexual orientation, national origin, gender identity, age, and disability status. FinQuery maintains a drug-free workplace.

Senior AI Engineer

The FinQuery AI team builds and owns the AI and machine learning services that power features across our suite of accounting and finance software products. We develop the shared platform and tooling that other engineering teams rely on to ship AI features and work across the company on AI product design. This is an individual contributor role for a senior AI engineer ready to own complex, production AI systems from prototype through deployment.

Reports to: Head of AI/ML

  • 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

  • 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

Preferred Experience

Full end-to-end AI/ML lifecycle experience including ideation, deployment, and maintenance at scale

Practical experience with the AWS AI/ML stack and document processing using LLMs

Experience mentoring other engineers and familiarity with uv for Python project management
The base pay range for this position is $169,752- $206,200.  Note: The final base pay for this position will be determined in FinQuery’s sole discretion consistent with applicable law, and based on a variety of factors, including, but not limited to, the applicant’s skills, qualifications for the role, job-related knowledge, work experience, and FinQuery’s business and other operational considerations.

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