AI Systems Engineer
Role details
Job location
Tech stack
Job description
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, * 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
Requirements
Do you have experience in Version control?, * 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 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
The base pay range for this position is $109291 - $148,500, which represents between 40%-80% of total compensation. Please note: The final base pay for this position will be determined in FinQuery's sole discretion consistent with applicable law, and based on a variety of factors, including, but not limited to, the applicant's skills, qualifications for the role, job-related knowledge, work experience, and FinQuery's business and other operational considerations.
Benefits & conditions
Pulled from the full job description
- Parental leave
- Health insurance
- 401(k) matching
- Paid time off
- Sabbatical
- Gym membership
- Adoption assistance, For Your Growth & Career: Annual employee development program stipend of $2,000 for each employee Mentorship program (available immediately) Sabbatical program (4 weeks after 5 years of service) Advancement opportunities based on results, not politics For Your Financial Well-being: 401(k) plan with employer matching Signing stipend for a work-from-home setup For Your Health & Wellness: Great health benefits with multiple plan option Flexible PTO (including 11 holidays and your birthday off) Free gym membership at our office (Atlanta HQ) Casual dress environment (when in office) Catered lunches every Tuesday & Thursday (when in office) For Your Family & Life: Parental Leave Benefits Fertility/Adoption Assistance Annual tutoring stipend for your children