AI Systems Engineer

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 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