AI Test Engineer

Perception Point; Santa Clara (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

11 paid holidays

Vacation and sick time

Comprehensive leave program

Job summary

Zoomcar in Santa Clara, California is seeking an eager, early-career engineer to build AI agents for enhancing network security product development.

This role involves designing resilient multi-agent systems, supporting RAG pipelines, and integrating AI agents with tools. A Bachelor's degree in a relevant field is required, along with solid Python skills and an eagerness to learn.

The US base salary range for this full-time position is $100,000-$140,000, with comprehensive benefits.

Qualifications

• Bachelor’s degree in relevant technical field required.
• Strong project-based experience with generative AI is a plus.
• Motivated, curious, and excited to learn.

Responsibilities

• Design and implement resilient, scalable multi-agent systems.
• Support RAG pipelines and integrate agents with external tools.
• Run LLM/RAG evaluations to improve reliability.

Skills

Generative AI project experience

AI agent frameworks

Python programming

Understanding of LLMs

Familiarity with cloud platforms (AWS, GCP, Azure)

Education

Bachelor's degree in CS, AI, ML, or a related technical field

Tools

Docker

Vector databases

Job description

We’re looking for an eager, early-career engineer to help build AI agents to improve work efficiency of network security product development.

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.

Requirements

• Bachelor’s degree in CS, AI, ML, or a related technical field.
• Strong project‑based experience with generative AI is a plus.
• Familiarity with AI agent frameworks.
• Basic understanding of LLMs, prompt engineering, and generative AI concepts.
• Some exposure to vector databases, retrieval systems, or RAG architectures.
• Familiarity with major LLM models.
• Basic familiarity with cloud platforms (AWS, GCP, Azure) and containers (Docker).
• Solid Python skills and good understanding of software engineering fundamentals.
• Motivated, curious, and excited to learn.

The US base salary range for this full‑time position is $100,000-$140,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program.

Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate’s subject knowledge, skill level, qualifications, experience, and geographic location.

All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at time of hire and annually at the Company’s discretion.

We are committed to providing reasonable accommodations for all qualified individuals with disabilities. If you require assistance or accommodation due to a disability, please contact us at [e-mail].

Fortinet is an equal opportunity employer. We value diversity in our company, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, military/veteran status or any other applicable legally protected characteristics in the location in which the candidate is applying.