Junior AI Engineer: Mentorship, Health Coverage, Growth Time

Energy Innovation Corp

Vancouver (WA)

On-site

USD 49,000 - 70,000

Full time

14 days+

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Benefits offered by this job

Mentorship
Health coverage
Paid growth time
Evenings-respecting contract

Job summary

Property Innovation Corp. is hiring a junior AI Engineer in Vancouver to translate 1 year of experience into a $69,000 - $98,000 salary range and influence over project work. You will mentor teammates, own initiatives from concept through delivery, and help advance AI tooling and data pipelines.

Candidates should demonstrate leadership, meticulous detail, and a willingness to learn ETL pipelines quickly while thriving in a fast-paced, deadline-driven environment within a technology-focused team.

Qualifications

  • Mentor without taking over the keyboard.
  • Attention to detail that catches what spell-check misses.
  • Problem-solving that seeks fast, thoughtful feedback.
  • Ability to learn new tech systems quickly and apply them effectively.
  • Comfortable owning projects from concept through delivery.
  • Experience thriving in a scrappy-but-steady, deadline-driven setting.

Responsibilities

  • Walk tech stakeholders through multitasking tradeoffs in language executives grasp.
  • Champion engineering excellence and continuous learning.
  • Tune MLOps caching for Vancouver launch spike on the same hardware.
  • Stitch Multitasking events into the Plotly pipeline feeding technology reports.
  • Lead the RAG migration to retire the legacy stack.
  • Pair Plotly and NumPy in a pipeline for future extension.

Skills

Team Leadership
ETL Pipelines

Tools

Plotly
NumPy

Job description

Property Innovation Corp. is hiring a junior AI Engineer in Vancouver to translate 1 year of experience into a $69,000 - $98,000 salary range and influence over project work. You will mentor teammates, own initiatives from concept through delivery, and help advance AI tooling and data pipelines.

Candidates should demonstrate leadership, meticulous detail, and a willingness to learn ETL pipelines quickly while thriving in a fast-paced, deadline-driven environment within a technology-focused team.

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