Artificial Intelligence Engineer

TEEMA; Vancouver; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading company is seeking an Artificial Intelligence Engineer to spearhead the development of intelligent agents within a hybrid edge cloud platform. The role involves designing, training, and optimizing AI models, collaborating with teams, and mentoring junior engineers. Ideal candidates will have extensive experience in AI/ML development and proficiency in Python and related frameworks.

Qualifications

• 5+ years of hands-on experience in AI/ML development.
• Experience building and deploying AI models as microservices.

Responsibilities

• Design and implement AI agents for hybrid environments.
• Train and fine-tune AI models for specific agent behavior.
• Lead a small team of engineers in building agentic systems.

Skills

AI/ML Development

Python

Contextual AI

Tools

TorchServe

TensorFlow

Docker

Kubernetes

Job description

Artificial Intelligence Engineer

This range is provided by TEEMA. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$100,000.00/yr - CA$125,000.00/yr

Direct message the job poster from TEEMA

Senior Associate at TEEMA Solutions Group

Principal AI Engineer

About the Role:

We’re looking for a hands-on AI expert to lead the development of intelligent agents that run as microservices across the hybrid edge cloud platform. You will be responsible for designing, training, and optimizing AI models tailored for distributed execution, from smart devices to servers, while also building new agent capabilities and coordinating with platform and product teams.

You’ll work at the intersection of AI, microservices, and edge computing to bring contextual, autonomous intelligence to the entire compute continuum.

Key Responsibilities:

• Design and implement AI agents that perform contextual tasks in end devices, cloud, and hybrid environments.
• Train and fine-tune LLMs, SLMs, and multimodal models as needed to support specific agent behavior.
• Architect modular and lightweight AI components that can run locally as microservices.
• Collaborate with product and platform teams to define agent capabilities and deployment constraints.
• Define and prototype AI Chains or other orchestration patterns for chained or cooperative agents.
• Build APIs and interfaces for integrating agents with upstream applications and downstream sensors/devices.
• Lead a small team of engineers building, deploying, and testing agentic systems.
• Stay ahead of the curve on advances in generative AI, reinforcement learning, autonomous agents, and on-device inference techniques.

Required Qualifications:

• 5+ years of hands-on experience in AI/ML development, with focus on real-world applications.
• Experience building and deploying AI models as microservices using frameworks like TorchServe, TensorFlow Serving, ONNX, Triton, etc.
• Strong knowledge of LLMs, language agents, vision models, and lightweight AI.
• Proficiency in Python, with experience in libraries such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, or similar.
• Familiarity with Docker, REST APIs, gRPC, and working knowledge of Kubernetes or edge orchestration tools.
• Strong understanding of contextual AI, agent architectures, or AI systems design.
• Ability to mentor junior team members and contribute to team growth and technical standards.

Nice to Have:

• Experience with ReAct, AutoGPT, BabyAGI, or other agentic frameworks.
• Understanding of federated learning, on-device training, or personalized edge inference.
• Exposure to real-time data processing and offline-first applications.
• Prior experience with hybrid edge platforms or running AI on IoT devices, smartphones, or industrial PCs.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Staffing and Recruiting

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