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Agentic AI Engineer
D3 Security
Greater Vancouver, CAN
Full Time
Mid
Onsite
2 weeks ago
PythonC#JavaScript/TypeScriptReactLLM powered applicationsAgentic AI
Free
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PythonC#JavaScript/TypeScript
About the Role
D3 Security is hiring an Agentic AI Engineer to design, build, and manage AI agents for autonomous decision-making and workflow automation in their SecOps platform. This is a hands-on software engineering role requiring strong Python/C# skills, experience with LLM-powered applications, and full-stack development.
Key Skills for This Role
PythonC#JavaScript/TypeScriptReactLLM powered applicationsAgentic AI
Responsibilities
- Design, build, and manage AI agents capable of autonomous decision making, planning, and tool use to execute complex customer and internal workflows
- Implement agent orchestration, multi step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems
- Build guardrails, validation, and human in the loop controls for reliable, safe, and auditable agent behavior
- Work across services and product surfaces to integrate agentic capabilities into production systems
- Collaborate with engineering, product, and design teammates to define agent behaviors and ship user facing improvements
- Improve quality of agentic systems through evaluation, testing, experimentation, and iteration
- Support production readiness through observability, debugging, CI/CD, and operational reliability
- Contribute to internal patterns and reusable components for building agentic features
Requirements
- 2+ years of software engineering industry experience building and shipping production applications
- Strong coding skills in Python and/or C#
- Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks
- Experience building or integrating API driven systems
- Hands on experience building LLM powered or agentic applications (tool/function calling, structured outputs, RAG, multi step agent workflows)
- Ability to turn ambiguous product or engineering requirements into structured implementation plans
- Good judgment around when agents should act autonomously vs. deterministic logic
- Understanding of core agent design patterns: planning, memory and state management, tool use, error handling and recovery
- Attention to quality, builder mindset, comfort with code reviews, testing, and continuous improvement
- Clear written and verbal communication
Full Job Posting
Role Summary
- D3 Security is looking for a hands on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision making, planning, and tool use to execute complex workflows.
- This role sits at the intersection of agentic AI engineering, full stack development, and AI assisted coding workflows.
- This is a software engineering role, not a research or model training position.
What You’ll Be Doing
- Design, build, and manage AI agents capable of autonomous decision making, planning, and tool use to execute complex customer and internal workflows.
- Implement agent orchestration, multi step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems.
- Build guardrails, validation, and human in the loop controls that keep agent behavior reliable, safe, and auditable.
- Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way.
- Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user facing improvements.
- Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost.
- Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability.
- Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product.
What You’ll 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.
- Hands on experience building LLM powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi step agent workflows.
- Ability to turn ambiguous product or engineering requirements into structured implementation plans.
- Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior.
- Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery.
- 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.
- 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 competitive compensation 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.
- Real ownership, real impact, and real growth opportunities.
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