AI role · Open offer

Senior AI Developer — telecom assistants

Bell Canada

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 1 Carrefour Alexander-Graham-Bell, Verdun, QC H3E 3B3, Canada · Hybrid
Compensation: CAD 115k–145k/year + bonus
Experience level: Senior
Team: AI engineering
Benefits & perks

About this role

What the team is looking for and how this position fits.

Bell Canada is hiring a Senior Senior AI Developer — telecom assistants on the AI engineering team (Hybrid · Montreal, Canada). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Bell Canada serves millions of subscribers with AI assistants for support and sales. Senior AI Developer builds bilingual NLP/LLM flows.

Hybrid Montreal: French and English eval suites are required before release.

What you will do

Ship retrieval and dialog systems on telecom knowledge bases.
Tune models for Canadian French and English variants.
Monitor latency on voice and chat channels.

Stack & environment

Python, LangChain, OpenAI APIs, Docker.
Hybrid Verdun campus.

What we look for

4+ years NLP/LLM in production.
Professional French strongly preferred.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
OpenAI API

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Customer-service LLM with French/English eval suites.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, OpenAI API, NLP, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Montreal, Canada)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

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What the employer asked for

Customer-service LLM with French/English eval suites.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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