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AI Systems Engineer

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: FinQuery
Full Time position
Listed on 2026-05-21
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 109291 - 148500 USD Yearly USD 109291.00 148500.00 YEAR
Job Description & How to Apply Below

Fin Query 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.

Fin Query is the global leader in lease accounting (as recognized on ) 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

The AI Systems Engineer is a developing technical contributor responsible for building, testing, and maintaining AI-powered automation components under the guidance of senior engineering and process leadership. This role executes on defined automation specifications—integrating APIs, configuring agentic workflows, and instrumenting systems for observability—while building the foundational expertise needed to take on increasingly complex, end-to-end agentic builds over time. The AI Systems Engineer brings genuine curiosity about emerging AI tooling and a disciplined approach to producing reliable, documented, production‑ready code.

Reports to:

Senior Director, Agentic Operations

How You’ll Make an Impact
  • 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
The Expertise You’ll Bring

Education and Experience
  • Typically requires 1–5 years of professional experience
  • Preferred 1–3 years of software development or technical engineering experience with exposure to Python and API integration
  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field preferred
  • Equivalent experience or bootcamp training considered
Knowledge and Abilities
  • Working proficiency in Python with the ability to write clean and functional scripts
  • Exposure to at least one LLM framework or AI tool such as Lang Chain, OpenAI API, or Llama Index
  • Foundational API integration skills using REST and familiarity with authentication basics
  • Basic SQL proficiency with the ability to write queries and understand data schemas
  • Experience using version control such as Git for branching, committing, and pull requests
  • Familiarity with cloud environments including AWS, Azure, or GCP at a conceptual level
  • Ability to follow and implement defined engineering specifications accurately
  • Developing ability to read and interpret system logs and performance data to identify anomalies
  • Strong collaboration skills with the ability to ask clear and specific questions to resolve blockers
  • Ability to write clear and accurate technical documentation

$109,291 - $148,500 a year

The base pay range for this position is $109,291 - $148,500, which represents between 40%-80% of total compensation.

Please note:

The final base pay for this position will be determined in Fin Query’s sole discretion consistent with applicable law, and based on a variety of factors, including, but not limited…

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