1 day ago
Toronto, CanadaMid Level
Responsibilities
- Build, test, and deploy stateful, multi-step agentic workflows and tool-calling systems.
- Develop APIs, connectors, and Model Context Protocol integrations connecting AI agents to internal services, databases, and enterprise platforms.
- Build scalable retrieval pipelines over structured and unstructured data using vector search and retrieval-augmented generation architectures.
- Collaborate with data scientists, product managers, enterprise architects, and business squads to move prototypes into production.
- Implement evaluation metrics, automated unit and integration tests, and observability for model performance, latency, cost, and reliability.
- Deploy and operate AI applications in enterprise environments and contribute to productionization of analytical pipelines.
Requirements
- Bachelor-level degree in Computer Science, Engineering, or a related field.
- 2 to 4 years of professional software engineering or data science experience, including 1 to 2 years building with LLMs and agentic architectures.
- Proficiency in Python, clean code architecture, robust API design, and production enterprise integrations.
- Practical experience with tool or function calling, agent orchestration, and retrieval-augmented generation over enterprise data.
- Experience deploying applications on a major cloud platform, such as Google Cloud Platform, and working with structured and unstructured databases.
- Preferred: experience with enterprise AI applications, microservices architecture, enterprise SaaS integrations, Model Context Protocol, agent evaluation frameworks, LLMOps or MLOps, prompt evaluation, trace logging, CI/CD, and containerized deployments.
- Preferred: experience collaborating with data science teams, a public GitHub portfolio, or open-source contributions involving agents or LLMs.
- Adequate knowledge of French is required for positions in Quebec.
Benefits
- Hybrid work arrangement in Toronto or Mississauga, Ontario, with at least 3 days per week in a Bell office; successful candidates must be based in Canada.
- Regular full-time employment with flexible work hours based on business needs.
- Medical, dental, vision, and mental health benefits available upon joining.
- 35% discount on Bell services and access to exclusive partner offers.
- Inclusive and accessible workplace with hiring-process accommodations available.