Applied AI Engineer
Summary
At Syntrace in Toronto, the Applied AI Engineer builds the production pipeline that turns institutional investors' private conversations into source-backed knowledge — covering transcription, speaker attribution, structured extraction and synthesis with LLMs — and designs the evaluations that prove accuracy, with security shaping model and data choices.
Syntrace builds conversational knowledge for institutional investors. We capture, organize and synthesize private conversations into source-backed knowledge a firm can build on.
We are now hiring an Applied AI Engineer, based in Toronto.
You will build the pipeline that turns raw conversations into knowledge investors can rely on: transcription, speaker attribution, structured extraction and synthesis. You will design the evaluations that tell us when it works and when it does not.
Our users trust us with the most sensitive conversations they have. That makes security part of the product, not a feature on top of it. It shapes which models we use, where data is processed and what is ever retained.
What you bring:
- Experience in building production systems with LLMs, not only prototypes.
- Strong Python, and comfort across the pipeline from ingestion to retrieval.
- A disciplined approach to evaluation. You measure before you claim.
- Experience with speech, retrieval or structured extraction is a strong plus.
What you get:
- A founding role on our North American team.
- A senior team that has scaled companies before.
- Hard problems where accuracy is the product, with users who hold you to it.
