Staff AI Architect — Lead Self‑Improving Platform

cadstrom-io

Montreal (administrative region)

Hybrid

CAD 120,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Early Stage Equity Package
Leading benefits
Care

Job summary

Cadstrom in Montreal is seeking a Staff or Principal AI Developer to lead the technical direction of product AI systems. You will own the experimentation and evaluation framework, design self-improving systems, and partner with founders to translate AI capability into customer outcomes.

This is a high-ownership role requiring deep experience with LLMs, RAG, and production-grade AI deployments. You will mentor engineers, shape data pipelines, and help build an AI moat for the company's

Qualifications

  • 6+ years building AI/ML systems with multiple production launches.
  • Deep experience with LLMs, prompt engineering, and eval design for production.
  • Experience turning small datasets into calibrated, continuously improving systems.
  • Strong architectural judgment across cost, latency, accuracy, maintainability.

Responsibilities

  • Build and own experimentation and evaluation tooling used by EE-domain experts.
  • Design and ship self-improving systems exposed to customers.
  • Own tool surfaces AI agents reason over, including contracts and guardrails.
  • Dive deep into data to diagnose performance issues and fix root causes.
  • Collaborate with electrical engineers to translate domain knowledge into prompts and evaluations.
  • Contribute to data extraction pipelines from datasheets and other AI surfaces.
  • Mentor AI engineers, set code standards, and participate in hiring.

Skills

AI/ML systems
LLMs
Prompt engineering
RAG
Experiment design
TypeScript proficiency

Education

Undergrad CS/Engineering/STEM
Graduate degree / equivalent experience

Tools

LangSmith
LangGraph
DSPy
AWS/GCP/Azure

Job description

Cadstrom in Montreal is seeking a Staff or Principal AI Developer to lead the technical direction of product AI systems. You will own the experimentation and evaluation framework, design self-improving systems, and partner with founders to translate AI capability into customer outcomes.

This is a high-ownership role requiring deep experience with LLMs, RAG, and production-grade AI deployments. You will mentor engineers, shape data pipelines, and help build an AI moat for the company's

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