AI Engineer

Location: Greater Vancouver Area (In-Office Only) candidates only

About D3 Security

D3 Security is transforming SecOps with Morpheus our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 13 analyst work with unmatched precision processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable intelligent and integrated security operations solutions for the worlds most forward-thinking organizations.

The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station offering a friendly environment with an energetic fast-growing and forward-thinking team.

Role Summary

D3 Security is looking for a hands-on AI Engineer to help build AI-powered product capabilities and improve the way modern software is developed tested and delivered. This role sits at the intersection of AI product engineering full-stack development and AI-assisted coding workflows.

You will work on practical product problems build reliable software and help apply modern AI tools and LLM capabilities to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation comfortable working across the stack and excited to build AI-enabled features in a production environment.

What Youll Be Doing

• Build and ship AI-powered product features that combine LLMs backend services APIs data systems and frontend experiences into useful customer workflows.
• Implement and improve AI-assisted development workflows that help accelerate engineering productivity and software quality.
• Contribute to multi-step application flows that involve model outputs tool usage business logic and validation.
  Work across services and product surfaces to integrate AI capabilities into production systems in a reliable and maintainable way.
• Collaborate with engineering product and design teammates to define requirements evaluate solutions and ship user-facing improvements.
• Help improve the quality of AI-enabled systems through testing experimentation measurement and iteration.
• Support production readiness through sound engineering practices including observability debugging CI/CD and operational reliability.
• Contribute to internal patterns and reusable components for building AI-powered features effectively across the product.

What Youll Bring

• 2 years of software engineering industry experience building and shipping production applications.
• Strong coding skills in Python and/or C# with solid backend engineering fundamentals.
• Experience with modern web development using JavaScript/TypeScript and ideally React or similar frameworks.
• Experience building or integrating API-driven systems and working across application layers.
• Practical familiarity with LLMs AI developer tools or AI-powered product features.
• Ability to turn ambiguous product or engineering requirements into structured implementation plans.
• Good judgment around when AI should be used for generation reasoning or assistance and when traditional software logic should drive behavior.
• Strong problem-solving skills attention to quality and a builder mindset.
• Attention to quality a builder mindset and comfort with code reviews testing and continuous improvement
• Clear written and verbal communication.

Nice to Have

• Has used AI coding tools to meaningfully change how they build software not just experimented with them.
• Familiarity with Docker Kubernetes or Azure
• Experience shipping AI-powered product features in enterprise software
• Interest in cybersecurity automation or workflow-heavy systems
• Exposure to evaluation prompt iteration or reliability practices for LLM applications

Compensation & Benefits

• We offer highly competitive compensation for this role in the market along with performance-based bonuses and equity opportunities for exceptional performers.
• Extended health and dental benefits
• On-site gym access
• Commuter expense reimbursement
• Team events and social activities
• Free foods and snacks in-office
• Most importantly:

Real ownership real impact and real growth opportunities

Job Type: Full-time Permanent

Schedule: Monday to Friday

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Required Experience:

Manager