Sr. 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,
Design and develop agentic AI workflows using LLM orchestration frameworks while implementing planning, reflection, and tool-use patterns
Architect and build system integrations connecting AI agents to internal APIs, databases, and third-party SaaS platforms
Develop and maintain Human-in-the-Loop (HITL) checkpoints and escalation logic to surface agentic decisions for human validation
Implement observability and feedback loops within deployed agents to capture performance signals, exception rates, and decision traces
Analyze existing technical workflows to identify automation opportunities and produce engineering-ready specifications
Contribute to documentation standards for agentic systems including technical specs, architecture diagrams, and runbooks
Partner with internal stakeholders to translate operational pain points into technical requirements
Conduct all business in accordance with company policies and procedures
Perform all other duties as assigned
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Typically requires a minimum of 3 years of related experience with a Bachelor's degree or 2 years with a Master's degree
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Preferred 3+ years in software or systems engineering with at least 1 year focused on LLM-based automation or agentic system design
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Bachelor's degree in Computer Science, Software Engineering, or a related technical field preferred
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Proficiency in Python and at least one LLM orchestration framework such as LangChain, LlamaIndex, or CrewAI
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Strong API integration skills across REST and GraphQL including comfort with various authentication patterns
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Working knowledge of prompt engineering, retrieval-augmented generation (RAG), and tool/function calling patterns
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Experience with SQL and NoSQL databases including schema design for agentic memory and state management
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Familiarity with cloud environments and deployment patterns for AI workloads
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Version control proficiency using Git with disciplined branching and documentation practices
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Ability to decompose complex processes into discrete and testable automation components
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Experience designing observability into systems including logging, alerting, and performance tracking
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Ability to communicate technical architecture and tradeoffs clearly to non-technical stakeholders
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Comfort working across functions to gather requirements and iterate on agent behavior
Location & Eligibility
Listing Details
- Posted
- May 8, 2026
- First seen
- May 8, 2026
- Last seen
- May 9, 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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