Closed listing
AI Engineer (35578)
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- 3–5+ years of AI development experience, including at least 2 years building production AI/ML or Agentic AI solutions.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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
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.
- 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.
- Python
- LangGraph
- CrewAI
- LLMs / SLMs
- Retrieval Augmented Generation (RAG)
- MLOps / LLMOps
- Docker
- Kubernetes
- CI/CD
- AI Gateways (MCP, A2A)
- API Development
- Cloud AI Platforms
More about this job
Responsibilities
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 LLMOps frameworks.
Requirements
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.
Skills
- Python
- LangGraph
- CrewAI
- LLMs
- SLMs
- Retrieval Augmented Generation
- MLOps
- LLMOps
- Docker
- Kubernetes
- CI/CD
- API Development
- AI Agents
- Agentic Workflows
- Cloud AI Platforms
- AI Governance
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Finance & Accounting
Keywords
- Python
- LangGraph
- CrewAI
- LLM
- SLM
- RAG
- MLOps
- LLMOps
- Docker
- Kubernetes
- CI/CD
- AI Gateways
- MCP
- A2A
- API Development
- Cloud AI Platforms
- Agentic AI
- AI Governance
- Observability
- Financial Institution
- Enterprise AI
- Software Engineering
- Data Science
- Machine Learning