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Artificial Intelligence Engineer

  • Canada

Full-time

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Job details

Job type
Full-time
Experience
Minimum 5+ years relevant experience
Posting language
English
Posted

Original job description

AI Solution Engineers

Key Responsibilities

  • Design and develop agentic workflows using Vertex AI and Agent Builder
  • Build, integrate, and deploy AI agents leveraging Python and cloud-native services.
  • Implement observability, monitoring, and evaluation frameworks for AI systems.
  • Define deployment, governance, and security best practices.
  • Develop testing strategies, validation frameworks, and performance benchmarks.
  • Collaborate with product, engineering, and business stakeholders to deliver scalable solutions.
  • Support production operations, troubleshooting, and continuous optimization.

Required Qualifications

  • Minimum 5+ years relevant experience
  • Strong Python development skills
  • Experience with Vertex AI, Agent Builder, and LLM-based application development.
  • Understanding of agent orchestration, RAG architectures, and AI evaluation methodologies.
  • Experience with cloud deployment, monitoring, and governance frameworks.
  • Strong engineering fundamentals and ability to deliver production-ready AI solutions.
  • Excellent communication and stakeholder collaboration skills.

Preferred Qualifications

  • Experience with Gemini, enterprise AI platforms, and multi-agent systems.
  • Familiarity with MLOps, CI/CD, and responsible AI practices.
More about this job

Responsibilities

Design, build, integrate, and deploy production-ready AI agents and agentic workflows using Vertex AI, Agent Builder, Python, and cloud-native services. Establish observability, evaluation, testing, governance, and security practices while supporting production operations and collaborating with stakeholders to optimize scalable solutions.

Requirements

Requires at least five years of relevant experience, strong Python skills, and experience with Vertex AI, Agent Builder, and LLM-based application development. Candidates should understand agent orchestration, RAG, AI evaluation, cloud deployment, monitoring, and governance; experience with Gemini, multi-agent systems, MLOps, CI/CD, and responsible AI is preferred.

Skills

  • Python
  • Vertex AI
  • Agent Builder
  • LLM Application Development
  • Agent Orchestration
  • RAG Architectures
  • AI Evaluation
  • Cloud Deployment
  • Monitoring
  • AI Governance
  • AI Security
  • Testing and Validation
  • Performance Benchmarking
  • Gemini
  • MLOps
  • CI/CD

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • Artificial Intelligence
  • AI Solution Engineering
  • Agentic Workflows
  • Vertex AI
  • Agent Builder
  • Python
  • Cloud-Native Services
  • AI Agents
  • LLM-Based Applications
  • Observability
  • Monitoring
  • AI Evaluation
  • Deployment
  • Governance
  • Security
  • Testing Strategies
  • Validation Frameworks
  • Performance Benchmarks
  • Agent Orchestration
  • RAG Architectures
  • Gemini
  • Enterprise AI Platforms
  • Multi-Agent Systems
  • MLOps
  • CI/CD
  • Responsible AI
  • Production Operations
  • Continuous Optimization

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