AI Automation Engineer — Data Pipelines, Equity Eligible

Fortinet, Inc.; Sunnyvale (CA); Presencial; USD 110.000 - 170.000; Jornada completa

Descripción de la vacante

Fortinet, Inc. is seeking a new graduate to join our automation engineering function. You will design and operate internal systems that transform large volumes of operational data into reliable workflows, with careful validation, idempotency, and human review.

You’ll learn the stack, define what 'correct' means, and contribute to end-to-end AI-enabled data pipelines. Work across systems, build ingestion pipelines, evaluate prompts, monitor quality, and ensure security and compliance.

Formación

• Must be authorized to work in the U.S. without sponsorship.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field, graduating by start date (or equivalent practical experience).
• Solid programming fundamentals; strong Python required. JavaScript/TypeScript is a plus.
• Experience building or consuming HTTP APIs, including LLM/AI APIs (OpenAI, Anthropic, or similar).
• Demonstrated experience designing and evaluating prompts or LLM-based pipelines - through coursework, an internship, or a personal project. You should have built with AI models, not just used AI products
• Comfort with Git and a hosted platform (GitHub or GitLab): branching, pull/merge requests, code review, and CI basics
• Basic understanding of databases and SQL
• A testing and debugging mindset: unit tests, fixtures, end-to-end checks, and regression coverage
• Strong attention to detail: able to read and interpret code, API documentation, logs, and specifications, and to write clear technical documentation
• Ability to work independently on processes that are still being defined, and adapt as scope evolves
• Ability to work onsite in Sunnyvale, CA

Responsabilidades

• Own the team's services end to end: deployment, monitoring, troubleshooting, and runbooks.
• Build and harden ingestion pipelines: API integrations, retries, idempotency, validation, and handling of late or incomplete data.
• Design prompts and pipelines for summarization, classification, retrieval, and scoring.
• Calibrate against human-graded samples; measure accuracy, consistency, and bias.
• Ship AI features only when they meet the quality bar, with human review for high-stakes or low-confidence decisions.
• Maintain structured content, metadata, and validation checks.
• Review content for leakage, staleness, and drift, and track pipeline health over time.
• Automate end-to-end processes from intake through reporting.
• Turn manual, repetitive workflows into reliable tools and help move repositories to the internal Git platform.
• Handle sensitive data responsibly: redaction, access control, retention, auditability, and secrets management.
• Document prompts, rules, and decision logic; improve observability, CI, and operational tooling

Conocimientos

Python

JavaScript/TypeScript

Git

HTTP APIs

LLM/AI APIs

Testing & debugging

Educación

Bachelor's or Master's in CS/CE or related field

Herramientas

FastAPI

Docker

Linux

GitHub

Descripción del empleo

Fortinet, Inc. is seeking a new graduate to join our automation engineering function. You will design and operate internal systems that transform large volumes of operational data into reliable workflows, with careful validation, idempotency, and human review.

You’ll learn the stack, define what 'correct' means, and contribute to end-to-end AI-enabled data pipelines. Work across systems, build ingestion pipelines, evaluate prompts, monitor quality, and ensure security and compliance.