Sr. AI Engineer

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.

Solve the Problems that Matter Most

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

How You’ll Make an Impact

• Build and scale production LLM-powered services, including context engineering, prompt design, and agentic workflows

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

The Expertise You’ll Bring

• 3+ years of professional software or AI/ML engineering experience with a focus on production LLM services

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Proven track record of developing, running, and evaluating autonomous agents in a production environment
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Strong Python proficiency with the ability to write clean, maintainable, and reliable code
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Solid understanding of agent architectures and the ability to resolve system failures under time pressure
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Knowledge of performance optimization, including latency, throughput, and cost management for AI services
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Familiarity with data privacy and compliance considerations for systems handling sensitive financial data
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Experience with various LLM models (OpenAI, Anthropic, open-source) and modern AI development tools
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Ability to communicate complex technical concepts and tradeoffs to both technical and non-technical partners
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Minimum of a four-year degree in Computer Science, Engineering, Mathematics, or equivalent experience

Preferred Experience

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• Full end-to-end AI/ML lifecycle experience including ideation, deployment, and maintenance at scale
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• Practical experience with the AWS AI/ML stack and document processing using LLMs
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• Experience mentoring other engineers and familiarity with uv for Python project management