2 days ago
Toronto, CanadaSenior
Responsibilities
- Scope business problems with stakeholders and select solutions across rules, automation, classical ML, GenAI, and agents.
- Embed with cross-unit squads and lead application builds from initial scoping through production delivery.
- Design, build, deploy, and integrate production-grade AI agents, automation, multi-agent workflows, and MCP servers with enterprise systems.
- Build scalable and reusable solutions over structured and unstructured data using vector databases and retrieval-augmented architectures.
- Mentor and pair with an early-career engineer.
- Own evaluation standards and quality practices for agentic systems depending on experience.
- Set up evaluation and observability for agentic systems and support production deployment and monitoring.
Requirements
- 4–7 years of software engineering experience, including 2–3 years of hands-on GenAI or agent experience.
- Experience designing and deploying AI systems on a major cloud platform.
- Production experience building and iterating agentic applications, agent skills and tools, MCP servers, and multi-agent workflows.
- Experience building data pipelines over structured and unstructured data with vector databases and retrieval-augmented architectures.
- Strong software engineering foundation including Python, APIs, and integration with production enterprise systems.
- Experience or familiarity with Google Cloud, Amazon Bedrock, Salesforce, and ServiceNow is preferred.
- Open-source contributions or published work in the agent or LLM space is preferred.
- Experience shipping AI products with measurable financial outcomes is preferred.
- Prior client-facing, consulting, or forward-deployed delivery experience is preferred.
- Exposure to MLOps or LLMOps for production deployment and monitoring is preferred.
- Adequate knowledge of French is required for positions in Quebec.
Benefits
- Regular full-time employment with a comprehensive benefits package.
- Medical, dental, vision, and mental health benefits available upon joining.
- 35% discount on Bell services and access to exclusive partner offers.
- Hybrid work arrangement in Toronto, Canada, requiring at least three days per week in a Bell office.
- Flexible work hours based on business needs.
- Inclusive and accessible workplace with hiring-process accommodations available.
Tech Stack
Google CloudPython
Categories
Forward Deployed