AI Engineer (35578)
- Toronto, ON
- Sur place
- Publié 18 sept. 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Contrat
- Niveau d’expérience
- Intermédiaire · 2+ ans
- Formation minimale
- Baccalauréat
- Postuler avant le
- 15 oct. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
Résumé du poste
Design, build, and deploy production-grade AI, Machine Learning, and Agentic AI solutions to solve complex business challenges. Develop RAG pipelines, AI agents, and implement MLOps and LLMOps frameworks for enterprise deployment.
Détails 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. Develop RAG pipelines, AI agents, and implement MLOps and LLMOps frameworks for enterprise deployment.
Exigences
Requires a degree in Computer Science or a related field with 3-5+ years of AI development experience. Candidates must be proficient in Python and have a proven track record of deploying production AI/ML solutions using Docker and Kubernetes.
Compétences indiquées
- Kubernetes · Souhaitée
- CI/CD · Souhaitée
- Docker · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- AI Agents
- Agentic Workflows
- Retrieval Augmented Generation
- LLMs
- SLMs
- MLOps
- LLMOps
- Docker
- Kubernetes
- CI/CD
- API Development
- LangGraph
- CrewAI
- Cloud AI Platforms
- AI Governance
Domaines d’emploi
- Technology
- Software
- Engineering
- Data & Analytics
- Consulting
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