Full Stack Engineer

Job summary

Build AI pipelines that transform private conversations into accurate, attributed, source-linked knowledge for institutional investors. Develop evaluations to measure system performance, with security treated as an integral part of the product.

Job details

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 Full Stack Engineer, based in Montréal. You will build the AI behind everything we surface: the pipelines that turn conversations into accurate, attributed and source-linked knowledge, in English, French and beyond, and the evaluations that tell us when it works. 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. What you bring: - Experience building production systems with LLMs. - Strong Python. - A disciplined approach to evaluation. What you get: - A founding role with real ownership. - A senior team that has scaled companies before. - Hard problems where accuracy is the product. To apply, send a short note to careers@syntrace.com about yourself. If you know someone who should read this, send it to them.

What you’ll do

Build AI pipelines that transform private conversations into accurate, attributed, source-linked knowledge for institutional investors. Develop evaluations to measure system performance, with security treated as an integral part of the product.

Requirements

Candidates should have experience building production systems with large language models and strong Python skills. They should also take a disciplined approach to evaluation.

Benefits

• Founding role with real ownership
• Opportunity to work with a senior team that has scaled companies

Listed skills

• Évaluation · Preferred
• Pipeline Development · Preferred
• Accuracy · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Production Systems
• Large Language Models
• Evaluation
• Pipeline Development
• Knowledge Synthesis
• Data Attribution
• Source Linking
• Security
• Accuracy

Job areas

• Software
• Technology
• Data & Analytics

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