AI Systems Engineer
Quick Summary
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…
Execute the development of agentic workflow components including tool integrations, prompt logic, and error handling from engineering specifications
Build and maintain API integrations connecting AI agents to internal systems, third-party SaaS platforms, and databases
Implement observability components within assigned agentic systems including logging, alerting configurations, and exception tracking
Develop and maintain Human-in-the-Loop (HITL) checkpoint logic within defined automation workflows
Coordinate internal testing of assigned automation components and document test cases and results
Maintain technical documentation for assigned builds including code comments, architecture notes, and runbook contributions
Support process audit activities by gathering and organizing workflow data, system logs, and integration details
Conduct all business in accordance with company policies and procedures
Perform all other duties as assigned
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Typically requires 1–5 years of professional experience
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Preferred 1–3 years of software development or technical engineering experience with exposure to Python and API integration
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Bachelor's degree in Computer Science, Software Engineering, or a related technical field preferred
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Equivalent experience or bootcamp training considered
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Working proficiency in Python with the ability to write clean and functional scripts
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Exposure to at least one LLM framework or AI tool such as LangChain, OpenAI API, or LlamaIndex
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Foundational API integration skills using REST and familiarity with authentication basics
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Basic SQL proficiency with the ability to write queries and understand data schemas
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Experience using version control such as Git for branching, committing, and pull requests
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Familiarity with cloud environments including AWS, Azure, or GCP at a conceptual level
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Ability to follow and implement defined engineering specifications accurately
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Developing ability to read and interpret system logs and performance data to identify anomalies
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Strong collaboration skills with the ability to ask clear and specific questions to resolve blockers
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Ability to write clear and accurate technical documentation
Location & Eligibility
Listing Details
- Posted
- May 8, 2026
- First seen
- May 8, 2026
- Last seen
- May 10, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 81%
- Scored at
- May 8, 2026
Signal breakdown

FinQuery is an AI-powered SaaS platform that automates prepaid and accrual accounting, simplifies lease accounting compliance, and centralizes contract management for accounting and finance teams.
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