Process Systems & Agentic Automation 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 serve 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 We aren’t looking for someone to just "fix" workflows; 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. In short: You aren't a cog in the machine; you are building the machine that builds the machine.

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

Technical Requirements Process Engineering Proficiency in Six Sigma, Lean, or BPMN (Business Process Model and Notation). 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 basic knowledge of cloud environments (AWS, Azure, or GCP). Data Mastery Ability to work with SQL/NoSQL databases and structured/unstructured data parsing. Experience & Education Bachelor’s or Master’s degree in Systems Engineering, Computer Science, Industrial Engineering, or a related technical field. 3+ years of experience in process optimization, with at least 1 year dedicated specifically to AI-driven automation. Soft Skills

The "Translator"

You can talk to any department about their pain points and instantly translate those needs into technical requirements for an AI agent.

Resilient Problem-Solver

You have a natural curiosity for "breaking" processes to find more resilient ways to rebuild them.

Ethics-First Mindset

You understand the weight of autonomous automation and prioritize reliability, transparency, and ethical AI.