AI Engineer

Mid-level AI Engineer talent pool in Toronto, focused on applied model features inside an ordinary product flow. This talent-pool listing is for a mid-level AI Engineer based in Toronto, Canada. Day to day, the focus is applied model features inside an ordinary product flow. A typical stretch of time is spent wiring a model or retrieval step into a service, checking failure modes, and logging what the user was shown. Responsibilities - Own the prompt or input contract so the product partner can see the inputs the model was not given without a separate explanation. - Every week, bring the fallback note up to date and resolve a silent failure when the model errors before the next cycle. - Write the logging spec in plain language and mention the missing request identifiers in the same note. - If the human-review queue stalls, say so the same day and state what you already did about the cases that must not be automatic. - Keep the latency budget in the shared tracker, not in a personal folder. - Treat the release checklist as finished only after you have checked a feature turned on without a fallback. Requirements - Roughly 3 to 6 years of putting a model or retrieval step into a product flow that matches this ai engineer profile, or a shorter record with the same kind of finished work. - Practical skill with Python and API integration in ai engineer work, not a certificate alone. - Able to explain what the user sees when the model call fails to a colleague who was not in the room. - Careful with automatic actions on low-confidence output; this is checked in review of ai engineer work. - For the ai engineer brief in Toronto, use the working language of that assignment in Canada. Nice to have - Fallback design is useful on ai engineer assignments in Toronto, and it is not required. - People who have already done request logging can start this ai engineer brief with less coaching. - A human review queue is a plus for ai engineer work based in Toronto. Skills Python, API integration, evaluation sets, logging, prompt or input design, feature switches, SQL, technical writing Working conditions This ai engineer listing in Toronto is hybrid: some days at the assignment's premises in Toronto, and some days from home, on a split the employer sets. The usual week is Monday to Friday. The work is desk-based. Output review is part of the week, not an occasional extra. Location The hiring base for this ai engineer listing is Toronto, Canada. English is the working language for this Toronto brief. Qualified people are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by applicable law. This is a talent-pool listing. Your profile will be reviewed and matched to employer openings that fit; submitting an application does not guarantee an interview or placement.