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Added 1 month ago
R
Stage - Hiver 2027 - Ventes globales / Internship - Winter 2027 - Global Sales
RTX
Longueuil, QC
- Full-time
Posséder des connaissances en programmation, idéalement en Python.
Added 1 month ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
Added 1 month ago
OT
Senior AI Developer (AI-Powered Applications)
Open Text Corporation
Waterloo, ON
- Other
We are seeking a highly skilled and motivated Senior Software Developer to help build cutting-edge AI-powered applications and agentic experiences. In this role, you will work as a key…
Added 1 month ago
T
Senior Java Full Stack Engineer, TD Securities
TD
Toronto, ON
- Full-time
TDS Enterprise Technology Solutions, Global Prime Brokerage is looking for a Full-time Senior Java Developer.
Added 1 month ago
Manager, Software Development - Clinical Care Enablement team
AlayaCare
Montreal, QC
Added 1 month ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
Position title: SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
Added 1 month ago
Cybersecurity - Cloud Security - Manager (Cloud Security Specialist)
EY
Toronto, ON · Montreal, QC · Vancouver, BC · Edmonton, AB · AB · Calgary, AB
Scripting experience using either Shell, Perl, Python, JavaScript, PowerShell, AWS-CLI, Azure-CLI, GCP CLI, etc.
Added 1 month ago
O
Senior Analyst (Senior Associate), Portfolio Analytics - Global Credit
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Extensive experience with Python (Pandas, Numpy, SciPy)
Added 1 month ago
T
Software Engineer II - Release & Deploy
TD
Toronto, ON
- Full-time
Automation and build support: Linux, Bash or Python, Docker, and enough Java/Maven and Node.js/npm knowledge to diagnose build and pipeline failures.
Added 2 months ago
V
Senior Embedded Developer / Développeur(e) embarqué senior
Vention
Montreal, QC
- Full-time
Develop and maintain Python-based microservices (FastAPI, MQTT, orchestration services) running on embedded Linux systems
Added 1 month ago
M
Software Engineer, Launch Program 2027 - Vancouver, Canada
Mastercard
Vancouver, BC
- Full-time
- Project-based experience (academic, internship, or personal) using one or more programming languages such as Java, JavaScript, Python, or C#
Added 1 month ago
M
Software Engineer, Launch Program 2027 - Toronto, Canada
Mastercard
Toronto, ON
- Full-time
- Project-based experience (academic, internship, or personal) using one or more programming languages such as Java, JavaScript, Python, or C#
Added 3 months ago
WI
Firmware Engineer
Work in Ottawa
Ottawa, ON
- Full-time
Added 1 month ago
AA
Spécialiste en Vibration des Systèmes / Systems Vibration Specialist
Airbus Aircraft
Montreal, QC
- Full-time
Connaissance du langage de programmation Python;
Added 1 month ago
G
Spécialiste livraison et support / Delivery & Support Specialist - Integration
Genetec
Remote, Canada
- Full-time
- Remote
Added 1 month ago
Manager, AI & Data Consulting
Artefact
Montreal, QC
Added 1 month ago
B
Senior Platform Engineer - Terraform, Azure
BDO
Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
Python, used alongside Terraform for automation and scripting where IaC alone isn't sufficient
Added 1 month ago
Senior Software Developer, Backend
Dialogue
Montreal, QC
Your role as Senior Software Developer, Backend
Added 1 month ago
S
Senior Data Engineer
Super.com
Remote, Canada
- Full-time
- Remote
5+ years of software/data engineering experience with expert hands-on Python and SQL practice
Added 1 month ago
CA
Backend Engineer
Cambio AI Inc.
Remote, Canada
- Full-time
- Remote
Experienced in Python web development (Django & Ninja is a bonus)
Added 1 month ago
O
Test Engineer
ORBCOMM
Ottawa, ON
- $75,000 to $95,000 CAD / year
- Full-time
You'll design and build manufacturing test stations and fixtures, develop automated test software using VB.NET and Python, and provide technical support across production and engineering…
Added 1 month ago
S
Intermediate / Senior Product Engineer
Symend
Remote, Canada
- Full-time
- Remote
Full-stack implementation capability You write async Python with confidence: asyncio, FastAPI, SQLAlchemy async. That’s the core of this stack and where most of the hard problems live.…
Added 1 month ago
Technical Officer, Critical Minerals: Automated Laboratory Processing
National Research Council Canada
Mississauga, ON
Recent experience in writing automated data analysis/data handling scripts in Python.
Added 1 month ago
GD
Junior Hardware Engineering Developer, FPGA
General Dynamics Missions System International
Ottawa, ON
- Full-time
General Dynamics Mission Systems–Canada Advanced Vetronics Systems (AVS) division is hiring for a Hardware Engineering Developer with a focus on FPGA. This multi-disciplinary team develops…
Added 1 month ago
Senior Manager, Audience Intelligence
Sony Music Entertainment Canada
Toronto, ON
Proficiency in analytical languages such as SQL and/or Python is considered a strong asset.

Symend

Intermediate / Senior Product Engineer

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Apply by: Dec 1, 2026
Experience: Minimum 3 years experience building SaaS products at scale
Posting language: English
Posted: Sep 2, 2026

Original job description

Job purpose
We’re building a voice agent that calls people who are past due on bills, explains their situation, and negotiates a payment arrangement – in real time, without a human on the line. It uses synthetic voice, behavioral science, and LLM-orchestrated decision logic to run conversations that actually work. That’s the product. It’s technical, ethically loaded, and genuinely hard to build well.

This role exists at the intersection of product and engineering, and it leans hard into both. You’ll own the full lifecycle of that product: pre-sales conversations where you help a client understand what’s possible, discovery where you find the real job-to-be-done, and implementation where you build and ship it. You’re not a PM who hands off to engineering. You’re not an engineer who gets handed a spec. You do both, and you’re accountable for whether the product finds its market.

You’ll lead a small delivery team, one to two junior and intermediate engineers, operating on a parallel track to the core platform. What you learn feeds back into the roadmap. What you ship is the conversational product.

The domain matters. You’re building AI that makes real-time decisions with real financial consequences – inside compliance guardrails, with a person on the other end of the line. Candidates who have worked in regulated, high-stakes AI application domains will have a meaningful head start. If you’ve survived a client integration that went sideways at 11pm and have opinions about when to throw out what the model generated, read on.

What You'll Do:
LLM orchestration depth is the floor You’ve built real agentic pipelines. You understand context window constraints, tool call patterns, failure modes, and what happens when an agent loses the thread mid-call. “I’ve used ChatGPT” is not this. You should be able to explain where your last pipeline broke and why.

Voice AI and telephony familiarity Hands-on experience with at least one of: Twilio, ElevenLabs, Retell, or Deepgram. You know why real-time audio is technically hard – latency, media streaming, session state – and you’ve built something that had to work under those constraints.

Full-stack implementation capability You write async Python with confidence: asyncio, FastAPI, SQLAlchemy async. That’s the core of this stack and where most of the hard problems live. You’re comfortable in TypeScript/React and can work across the frontend, but you don’t need to be a specialist there. If you’re stronger on the backend and can navigate a Vite/TanStack/Zustand frontend without getting lost, that’s fine.

Client-facing discovery skills You know how to run a conversation that surfaces the real problem, not just the stated one. You can translate a messy client requirement into a scoped technical approach and explain it back to a non-technical stakeholder without losing the room.
Integration and event-driven architecture You’ve wired up external APIs, dealt with inconsistent documentation, rate limits, and auth schemes, and made it reliable. Webhooks are the primary integration pattern for Twilio, ElevenLabs, and Retell. You’ve built webhook receivers, implemented HMAC signature validation, handled replay attacks, and designed for idempotency. You’ve used Redis as more than a cache: pub/sub, streams, session state at scale.

AI tooling philosophy You use AI as a drafting partner, not a decision-maker. You reach for it on boilerplate, test scaffolding, and exploration. You own the design. You know when the output needs to be thrown out. A bad sign: you ship what the model generates without reading it.

Multi-tenant systems experience You’ve built multi-tenant SaaS where tenant data bleed is a real threat, not a hypothetical, and you can describe specifically how you prevented it. Per-tenant credential scoping, namespaced keys, org-scoped access patterns are second nature.

Cloud deployment literacy You’ve shipped to cloud-hosted containers. You can read a GitHub Actions workflow, understand why a build fails in CI but works locally, and debug a deployment without needing someone to translate the logs. Azure experience is a plus; the pattern matters more than the platform.

Agentic SDLC toolkit fluency We’ve built a custom agentic development toolkit on top of Claude Code and internal tooling. You’ll become expert in it. Not just as a user, but as someone who understands its capabilities well enough to identify where it falls short and push it forward. Existing AI Coding Agent experience is a strong signal (Claude Code, Codex, OpenCode, etc.).

Performance Expectations
90 days: First client implementation is in active development with a clear delivery plan and a client aligned on scope. You’re fluent in the agentic SDLC toolkit. You’ve led at least one discovery conversation independently and can articulate where the product fits and where it doesn’t for that client’s context.

12 months: Three to four clients live on the voice AI product. A repeatable delivery motion exists - not just in your head, but documented and transferable. You’re feeding clear PMF signal back into the core roadmap, and there’s a case for growing the team or doubling down on the product direction.

What You'll Need:

Minimum 3 years experience building SaaS products at scale
B2B experience is an asset

You’re probably not a fit if

You need detailed tickets and a tech lead to make forward progress
You’ve built “integrations” but couldn’t explain the failure mode at the API boundary
You’ve “worked with LLMs” but haven’t built a production agentic pipeline
You’ve never been in a client conversation and don’t want to be
You treat AI-generated code as ground truth

Apply About employer

More about this job

Responsibilities

You will own the full product lifecycle, from pre-sales discovery and technical scoping to implementation and delivery of voice AI solutions. You will lead a small delivery team while building and shipping agentic pipelines that integrate with external telephony and AI services.

Requirements

Candidates must have at least 3 years of experience building SaaS products and possess deep technical proficiency in async Python and LLM orchestration. You must be comfortable in client-facing roles, capable of translating complex requirements into reliable, event-driven technical architectures.

Skills

Python
Asyncio
FastAPI
SQLAlchemy
TypeScript
React
LLM Orchestration
Voice AI
Twilio
ElevenLabs
Retell
Deepgram
Redis
Cloud Deployment
SaaS
Agentic SDLC

Visa sponsorship

Not detected in the job text

Keywords

Product Engineer
Voice Agent
LLM
Synthetic Voice
Behavioral Science
Python
Asyncio
FastAPI
SQLAlchemy
TypeScript
React
Vite
TanStack
Zustand
Twilio
ElevenLabs
Retell
Deepgram
Redis
Pub/Sub
Webhook
HMAC
SaaS
Multi-tenant
Cloud
Azure
GitHub Actions
Agentic SDLC
Claude Code
B2B

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