AI Systems Engineer

FinQuery•Atlanta, GA

1d•Hybrid

About The Position

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.

Requirements

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
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 LangChain, OpenAI API, or LlamaIndex
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

Responsibilities

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