Artificial Intelligence Engineer
- Canada
Contract
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Job details
- Job type
- Contract
- Experience
- Minimum 5+ years relevant experience
- Posting language
- English
- Posted
Original job description
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
Develop and deliver production-ready AI solutions using Python, Vertex AI, Agent Builder, and LLM-based application development. Apply agent orchestration, RAG, evaluation, cloud deployment, monitoring, and governance practices while collaborating with stakeholders.
Requirements
Requires at least five years of relevant experience, strong Python development skills, and experience with Vertex AI, Agent Builder, and LLM-based applications. Candidates should understand agent orchestration, RAG, AI evaluation, cloud deployment, monitoring, and governance; experience with Gemini, enterprise AI platforms, 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
- Gemini
- Enterprise AI Platforms
- Multi-Agent Systems
- MLOps
- CI/CD
- Responsible AI
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Python
- Vertex AI
- Agent Builder
- LLM-Based Applications
- Agent Orchestration
- RAG Architectures
- AI Evaluation Methodologies
- Cloud Deployment
- Monitoring
- AI Governance
- Production-Ready AI Solutions
- Gemini
- Enterprise AI Platforms
- Multi-Agent Systems
- MLOps
- CI/CD
- Responsible AI
- Stakeholder Collaboration