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. The candidate reports to the Senior Director, Agentic Operations.
How You Will 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
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field preferred; Equivalent experience or bootcamp training considered
- Typically requires 1-5 years of professional experience; 1-3 years of software development or technical engineering experience with exposure to Python and API integration preferred
- 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
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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