AI Engineer (35578)
Offre en anglaisDesign, build, and deploy production-grade AI, Machine Learning, and Agentic AI solutions to solve complex business challenges. This includes developing RAG pipelines, AI agents, and implementing MLOps and governance frameworks.
- Sur place
- Toronto, ON
- Publié 26 août 2026
- Postuler avant le 25 sept. 2026
- 1 poste
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Résumé du poste
Our client, a leading financial institution in Toronto, is seeking an AI Engineer to support a large enterprise AI transformation program. The successful candidates will design, build, and deploy production-grade AI, Machine Learning, and Agentic AI solutions that address complex business challenges in an enterprise environment. Responsibilities Design and implement production-grade AI and Agentic AI solutions. Build AI agents, agentic workflows, and Retrieval Augmented Generation (RAG) pipelines. Develop AI/ML pipelines using LLMs and SLMs. Implement MLOps, LLMOps, CI/CD, and cloud deployment best practices. Build AI governance, monitoring, observability, and evaluation frameworks. Contribute to AI standards, accelerators, and delivery best practices. Required Qualifications Degree in Computer Science, Software Engineering, Data Science, or a related field. 3–5+ years of AI development experience, including at least 2 years building production AI/ML or Agentic AI solutions. Strong Python development skills. Experience building and deploying AI agents and AI/ML solutions. Experience with Docker, Kubernetes, CI/CD, and version control. Experience with API integration and development. Consulting or professional services experience preferred. Technical Environment Python LangGraph CrewAI LLMs / SLMs Retrieval Augmented Generation (RAG) MLOps / LLMOps Docker Kubernetes CI/CD AI Gateways (MCP, A2A) API Development Cloud AI Platforms ,
Ce que vous ferez
Design, build, and deploy production-grade AI, Machine Learning, and Agentic AI solutions to solve complex business challenges. This includes developing RAG pipelines, AI agents, and implementing MLOps and governance frameworks.
Exigences
Requires a degree in Computer Science or a related field with 3-5+ years of AI development experience, including at least 2 years in production AI/ML. Proficiency in Python, Docker, Kubernetes, and API integration is essential.
Compétences indiquées
- KubernetesSouhaitée
- CI/CDSouhaitée
- DockerSouhaitée
- Apprentissage automatiqueSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- LangGraph
- CrewAI
- LLMs
- SLMs
- Retrieval Augmented Generation
- MLOps
- LLMOps
- Docker
- Kubernetes
- CI/CD
- API Development
- Agentic AI
- Machine Learning
- AI Governance
- Cloud AI Platforms
Domaines d’emploi
- Technology
- Software
- Engineering
- Data & Analytics
- Consulting
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 2+ ans
- Postuler avant le
- 25 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level