Agentic AI Engineer
d3security Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at d3security. Vancouver · full-time · no salary stated · we estimate CA$100,000–CA$150,000 across Canada.
d3security has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build agents that plan, choose actions and use tools to complete customer and internal workflows
- Connect language models with services and data through orchestration, multi-step plans and API calls
- Add checks and human approval points so agent actions stay safe, dependable and auditable
- Bring agent features into production across services and product interfaces, with reliable operations
- Test agent performance, track success, speed and cost, and improve reusable prompts, tools and scaffolding
What you bring
- At least two years building and releasing production software in an industry role
- Strong Python or C# skills, plus experience with JavaScript or TypeScript web development
- Hands-on work creating LLM features such as tool calls, structured outputs, retrieval or multi-step workflows
- Experience connecting APIs across application layers and turning unclear needs into implementation plans
Who this fits
This suits a hands-on software engineer focused on building production features with existing foundation models, rather than conducting research or training models. You’ll work across the stack with engineering, product and design colleagues. The job is in-office only for candidates in the Greater Vancouver Area.
From the employer
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 1–3 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 world’s 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 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.
You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns 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 production-grade AI agents in an enterprise environment.
Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.
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, 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 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
- Most importantly:
👉 Real ownership, real impact, and real growth opportunities
Job Type: Full-time, Permanent
Schedule: Monday to Friday
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