Agentic ai engineer Jobs

Agentic AI Engineer
D3 Security Management Systems —Vancouver, BC
- Full-time
- Azure
- Research
- JavaScript
- Dental care
Quick apply
8d
Founding AI Platform Engineer (AI SaaS & Automation)
Kajaria Consulting Inc. —Mississauga, ON
- $30–$60 an hour
- Temporary
- CRM software
- DevOps
- System design
Quick apply
1d
Patient Experience Tech Innovation Engineer
Sanofi EU —Toronto, ON
- $105,200.00–$151,933.33 a year
- Computer Science
- Salesforce
- Engineering
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Senior Full Stack Engineer (Python + React)
Draft & Goal —Montréal, QC
- $90,000–$110,000 a year
- Immediate opening
- Hybrid work
- Azure
- SQL
- AWS
- Dental care
- Paid time off
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Mechatronics Engineer - Advanced Enginering
Masco Canada —St. Thomas, ON
- $67,900–$106,590 a year
- Full-time
- CAD
- Plumbing
- Communication skills
- Profit sharing
- Dental care
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Staff AI Engineer
Tangerine Bank —Toronto, ON
- Machine learning
- APIs
- AI
Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
AWS Managed Services Lead
Prism Cloud Consulting Inc —Greater Toronto Area, ON
- $40–$70 an hour
- Temporary
- Hybrid work
- AWS
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Senior Java Engineer (Architects & Technical Leads) – Agentic AI & R&D Innovation
Apexon —Toronto, ON
- $794.08–$2,310.69 a year
- Full-time
- System design
- Java
- Software development
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2d
Senior Scientist - Agentic AI Systems
Sanofi EU —Toronto, ON
- $108,900–$157,300 a year
- Azure
- Doctoral degree
- Computer Science
6d
Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- $79,000–$131,000 a year
- Full-time
- SQL
- In-person
- Python
- Store discount
- Profit sharing
Quick apply
Senior Data Engineer
Tangerine Bank —Toronto, ON
- DevOps
- Communication skills
9d
Senior Software Engineer, CMS (Auto Repossession & Remarketing)
autoTRADER.ca —Toronto, ON
- $140,000–$190,000 a year
- DevOps
- System design
- AI
- Employee assistance program
AI Development Engineer
Raise —Calgary, AB
- $80.82–$98.60 an hour
- Contract
- Computer science
- Computer Science
- Engineering
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8d
Senior Full Stack Engineer - Electronic Arts [EAFS260703]
Hatch —Ontario
- $130,000–$170,000 a year
- Full-time
- DevOps
- AWS
- APIs
- Disability insurance
- Paid time off
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4d
Associate, DevOps Engineer
BMO Financial Group —Toronto, ON
- $90,000–$120,000 a year
- Azure
- Computer Science
- DevOps
- Tuition reimbursement
- Life insurance
Identity and Access Management Engineer - AI
Procom —Toronto, ON
- $75–$100 an hour
- Immediate opening
- Hybrid work
- Azure
- AWS
- Agile
Quick apply
5d
Senior Platform Engineer
autoTRADER.ca —Toronto, ON
- $130,000–$160,000 a year
- On call
- DevOps
- AWS
- APIs
- Employee assistance program

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Agentic AI Engineer

D3 Security Management Systems -
Vancouver, BC

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Job details

Full-time
8 days ago

Qualifications

Azure
Law
React
Kubernetes
D3.js
Web development
C#
Research
Docker
JavaScript
APIs
AI
TypeScript
Communication skills
Python
Design patterns

Full job description

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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