AI Agent Engineer: RAG & LLM Systems

Fortinet, Inc.; Santa Clara (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k)

Paid holidays

Vacation time

Sick time

Comprehensive leave program

Job summary

Fortinet, Inc. is seeking an eager, early-career engineer to help build AI agents to improve work efficiency of network security product development.

You will design and implement resilient, scalable multi-agent systems, support RAG pipelines, and integrate agents with external tools. Join as a full-time engineer in Santa Clara, CA, bringing solid Python skills, familiarity with AI concepts, cloud platforms, and Docker.

Qualifications

• Bachelor’s degree in CS/AI/ML or related field.
• Experience with generative AI is a plus.
• Familiarity with AI agent frameworks.
• Basic understanding of LLMs and prompt engineering.
• Exposure to vector databases or RAG architectures.
• Familiarity with major LLM models.
• Cloud platforms and containers (Docker).
• Strong Python skills and solid software fundamentals.
• Motivated, curious and eager to learn.

Responsibilities

• Design and implement resilient, scalable multi-agent systems and agentic AI.
• Support RAG pipelines, including vector databases and hybrid search
• Integrate agents with external tools, APIs, and business systems
• Run LLM/RAG evaluations to identify issues and improve reliability
• Write prompts and support light model fine-tuning

Skills

Python

LLM concepts

Docker

Cloud platforms

Software engineering fundamentals

Learning agility

Education

Bachelor’s degree in CS/AI/ML

Tools

Docker

AWS/GCP/Azure

Job description

Fortinet, Inc. is seeking an eager, early-career engineer to help build AI agents to improve work efficiency of network security product development.

You will design and implement resilient, scalable multi-agent systems, support RAG pipelines, and integrate agents with external tools. Join as a full-time engineer in Santa Clara, CA, bringing solid Python skills, familiarity with AI concepts, cloud platforms, and Docker.