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Artificial Intelligence Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: DATAHEAD
Full Time position
Listed on 2026-06-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Software Architect
Salary/Wage Range or Industry Benchmark: 200000 CAD Yearly CAD 200000.00 YEAR
Job Description & How to Apply Below

Salary CAD $200,000 per year (negotiable)

Job type Full‑time, Permanent

DATAHEAD is exclusively representing a senior AI Engineer position at a global supply chain tech firm trusted by Fortune 50 brands.

This is a high‑ownership, senior engineering role focused on building production‑grade AI systems - not maintaining someone else’s pipeline. You will be architecting and shipping LLM systems that directly impact how global logistics operates, reporting into the Head of R&D with real autonomy from day one.

If you thrive in environments where decisions matter, ambiguity is normal, and ownership is genuine - read on.

What you will be doing
  • Design and build production‑grade LLM systems — RAG pipelines, agents, and APIs
  • Own end‑to‑end delivery of critical AI features
  • Define and implement evaluation frameworks (golden sets, regression testing)
  • Architect systems for cost, latency, and reliability at scale
  • Drive architectural decisions with long‑term implications
  • Provide technical guidance to engineers on adjacent teams
What you must have
  • Proven experience shipping LLM‑powered features to production — this is a hard requirement
  • Deep expertise in RAG systems: advanced retrieval, chunking strategy, and evaluation
  • Hands‑on prompt engineering at API level, not just wrapper libraries
  • Experience with agent architectures:
    ReAct, tool calling, planning loops
  • Ability to operate independently in fast‑moving, ambiguous environments
  • Bachelor’s or Master’s degree in Computer Science or a related field
Bonus if you have
  • Fine‑tuning experience — LoRA, SFT, DPO
  • Observability tooling — Langfuse, Lang Smith
  • Public work (Git Hub, writing, conference talks) that demonstrates genuine depth
  • Prior experience on early‑stage or high‑ownership teams
What the first 90 days look like

Month 1 — Get deep into the existing architecture. Contribute to live systems, not just onboarding tasks. Identify gaps and risks early.

Month 2 — Own and deliver a critical feature or system component end‑to‑end. Improve at least one existing system across performance, evals, or architecture.

Month 3 — Trusted senior engineer on the team. Driving architectural decisions. Delivering measurable impact on reliability, quality, or efficiency. Operating with minimal oversight.

Why this role
  • Real ownership — not a supporting role in a large org
  • Small, high‑calibre team with deep operational domain expertise
  • Systems that directly power real‑world global commerce
  • Competitive salary with room to negotiate
  • Hybrid working from Toronto
  • Full benefits, learning budget, flexible leave, and ESOP where applicable
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