Process Systems & Agentic Automation Engineer at FinQuery

About FinQuery

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. FinQuery is the global leader in lease accounting and serve more than 8,500 customers worldwide. Recognized on the Inc 5000 for five consecutive years.

We are looking for an engineer to redefine how our organization operates. As our Process Systems & Agentic Automation Engineer, you will sit at the unique intersection of Industrial Systems and AI Software Engineering. You won't just identify inefficiencies — you will build the autonomous and semi-autonomous "Agentic" tools that execute, monitor, and optimize those processes in real-time.

The Impact You'll Make:

Architect & Analyze: Conduct deep-dive audits of existing workflows to dismantle bottlenecks, bridge data silos, and eliminate manual touchpoints.

Build the "Brains": Design and deploy "Agentic" workflows using LLM frameworks that can reason, utilize tools, and complete complex, multi-step tasks autonomously.

Integrate Ecosystems: Connect AI agents with internal APIs, databases, and third-party SaaS platforms to ensure seamless data flow and action.

Closed-Loop Optimization: Implement feedback loops where AI agents report on their own performance, driving continuous refinement of process logic.

Human-in-the-Loop (HITL): Design intuitive interfaces where human expertise can validate or steer agentic decisions.

Govern & Document: Maintain rigorous documentation of both "analog" processes and "digital" agent logic to ensure security and compliance.

The Expertise You'll Bring:

Process Engineering: Proficiency in Six Sigma, Lean, or BPMN. Experience in systems thinking and value stream mapping.

AI & Automation: Experience with Python and LLM orchestration frameworks. Familiarity with Agentic patterns (Planning, Reflection, Tool Use).

Software Dev: Strong API integration skills (REST, GraphQL), version control (Git), and cloud environments (AWS, Azure, or GCP).

3+ years of experience in process optimization, with at least 1 year dedicated to AI-driven automation.