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LLM Product Engineer - Internal Knowledge Assistant

Anton Volkov

Full-time · Junior · Toronto

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About the role

We have already proved employees will use the assistant. The harder part now is making it consistently useful. You will join a product team that cares less about novelty and more about whether people can find the right answer quickly, trust it, and move on with their day.

Responsibilities

  • Improve answer quality and source grounding in our internal assistant
  • Design evaluations around real employee tasks and failure cases
  • Tune retrieval, context assembly, and response structure
  • Work with security and IT on safe data access patterns
  • Ship measurable improvements without overcomplicating the stack

Requirements

  • 3+ years in software or AI product engineering
  • Python for backend and evaluation workflows
  • OpenAI API experience in production
  • LangChain for multi-step orchestration
  • RAG for grounded enterprise knowledge retrieval
  • SQL for usage analytics and experiment measurement

Benefits

  • $104,000 - $124,000 base salary
  • Hybrid in Toronto with flexible in-office schedule
  • RSUs and annual wellness budget
  • Direct line to internal users
  • A product team that values iteration over theater

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$104,000 - $124,000

AI Expertise

NLP & Prompt Engineering

Skills

python langchain openai api rag sql

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