Applied AI Engineer AI Agent (New Graduate)

We are a cybersecurity company building a next-generation AI-driven operations platform designed to power complex high-stakes workflows. Our product integrates generative AI deeply into real-time operational environmentscombining reasoning retrieval and automation into scalable trustworthy systems.

The Opportunity

Were looking for ambitious undergraduate new graduates with a strong foundation in computer science and a genuine interest in AI to join us as an Applied AI Engineer. This is an ideal role for someone who has built projects completed internships or pursued coursework in backend systems and applied AIand is ready to grow those skills in a fast-paced production environment. Youll work alongside senior engineers product managers and AI researchers to build systems that drive investigation speed streamline operations and unlock new modes of human-AI collaboration.

What Youll Do

Development

Build and maintain backend services and AI-integrated features for real-time high-volume operational workloads.

Integrate LLMs and GenAI components into production workflows including prompt orchestration retrieval pipelines and evaluation loops.

Help design data flows (event streams message queues job orchestration) to support next-generation SOC/NOC capabilities.

Write clean well-documented code with clear API contracts between AI services backend APIs and frontend clients.

Contribute to trustworthy AI delivery: streaming responses structured outputs redaction/guardrails and human-in-the-loop review.

Collaboration

Work with senior backend engineers to build data pipelines that power AI-driven features.

Collaborate with design and frontend engineers to translate complex backend/AI systems into intuitive user experiences.

Participate in code reviews technical design discussions and team retrospectives.

Communicate clearly with both technical and non-technical teammates about progress blockers and trade-offs.

Who You Are

Education

Bachelors degree in Computer Science Computer Engineering AI/ML or a closely related technical field (graduated within the past 6 months or graduating by Summer 2026).

Technical Skills

Core Backend & Platform

Proficiency in at least one modern backend language (e.g. Python Go) demonstrated through coursework personal projects or internships.

Familiarity with API design (REST WebSocket or GraphQL) and basic understanding of event-driven or real-time systems.

Coursework or hands-on exposure to relational databases (e.g. Postgres) and data modeling fundamentals.

Basic understanding of authentication/authorization patterns and web application security.

Awareness of distributed systems concepts (load balancing caching message queues).

AI/ML Foundations

Completed coursework or projects involving machine learning NLP or deep learning.

Familiarity with AI/ML frameworks (e.g. PyTorch TensorFlow Hugging Face) from class or personal projects.

Interest in or exposure to LLM-based applications prompt engineering retrieval-augmented generation and agentic system design

Enthusiasm for learning about multi-agent architectures fine-tuning workflows and evaluation techniques.

Communication & Soft Skills

Strong problem-solving skills and intellectual curiosity.

Excellent written and verbal communication skills.

Eagerness to learn quickly take feedback constructively and grow in a team environment.

Experience working on team-based projects (class projects hackathons clubs or open-source contributions).

What Sets You Apart

Internship experience at a tech cybersecurity or AI company.

Personal projects demonstrating end-to-end application development (especially with LLM integrations).

Contributions to open-source projects in AI/ML developer tools or backend frameworks.

Participation in hackathons programming competitions or CTF (Capture the Flag) events.

A standout capstone or senior thesis project related to AI systems or distributed computing.

What We Offer

A structured onboarding experience with mentorship from senior engineers and researchers.

Opportunity to shape the future of AI-assisted cybersecurity and operations at scale.

Real ownership of product features used daily by enterprise customersnot busywork.

Continuous learning in AI/ML distributed systems and modern web technologies.

Comprehensive benefits including medical dental vision life and disability insurance 401(k) 11 paid holidays vacation time and sick time.

Must be authorized to work in the U.S. without sponsorship.

The US base salary range for this full-time position is $179500$220000. Exact salary offers will be determined by factors such as skill level qualifications academic achievements and geographic location.

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