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Added 2 months ago
Senior, AI & Data Science
Artefact
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
RA
Staff Embedded Software Engineer, Virtualization
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 USD / year
- Full-time
- Remote
As a Staff Embedded Software Engineer, you will transform real-world ECU firmware into high-performance virtual devices that run on everyday workstations and cloud servers. Your work closes…
Added 1 month ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 2 months ago
IT Industrial CrossFunction - Full Stack & AI Integration
Amrize
Mississauga, ON · Laval, QC
The Industrial IT Full Stack / Back End & AI Integration Snr. Engineer role is to contribute her/his skills to the development of company Industrial Solutions including AI-powered features…
Added 2 months ago
AI & Agentic Engineer, Senior
Artefact
Montreal, QC
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 2 months ago
A
Associate Software Engineer (Winter 2027)
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Internship
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 1 month ago
B
Senior Platform Engineer
Buyerlink
Victoria, BC
- Full-time
…legacy workload still on AWS. We are hiring a Senior Platform Engineer to join the team that builds and runs those…
Added 2 months ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
The ideal candidate will have strong hands-on experience building, deploying, and operationalizing machine learning solutions in cloud environments, with expert knowledge of SQL and Python…
Added 1 month ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
FORWARD - DEPLOYED Engineer · Montréal, QC · Full-Time, Permanent · 100% On-Site · Start Date: September 14, 2026
Added 1 month ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
Familiarity with Python for data processing or automation is a plus
Added 4 months ago
WI
Firmware Engineer
Work in Ottawa
Ottawa, ON
- Full-time
We are excited to partner with AttoTude to attract top talent for Firmware Engineer.
Added 1 month ago
B
Senior Platform Engineer - Terraform, Azure
BDO
Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
BDO Digital is looking for a replacement Senior Platform Engineer to join our team. This is enterprise-scale platform solutioning, not single-application DevOps. You will build a platform…
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
O
Test Engineer
ORBCOMM
Ottawa, ON
- $75,000 to $95,000 CAD / year
- Full-time
…products perform at their best? At ORBCOMM, we're looking for a hands-on Test Engineer to design, develop, and support automated test solutions used throughout product development,…
Added 1 month ago
S
Intermediate / Senior Product Engineer
Symend
Remote, Canada
- Full-time
- Remote
…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…
Added 1 month ago
GD
Junior Hardware Engineering Developer, FPGA
General Dynamics Missions System International
Ottawa, ON
- Full-time
Engineer, implement, and optimize FPGA-based solutions using Vivado, focusing on VHDL and HLS code development.
Added 2 months ago
EE
GTM Engineer (Lead)
Edgecom Energy
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
…The team grows when the machine’s unit economics justify more hands, and you’ll make that case with…
Added 1 month ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and…
Added 1 month ago
GD
Co-op Winter 2027 - Software Developer - 8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
The Applications team for the Land C5ISR Program is looking for a Co-op Software Engineer to join our team. We develop and integrate various software products that enable the Canadian Army…
Added 1 month ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
…Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest, transform, and load data from multiple sources into data warehouses,…
Added 2 months ago
D
AI Research Engineer
Deloitte
Toronto, ON
- Full-time
We are looking for a passionate AI Research Engineer to join our team. You will work at the intersection of cutting-edge AI research and product engineering - designing, evaluating, and…
Added 2 months ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
Deloitte's Artificial Intelligence & Data practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial…
Added 1 month ago
X
Lead Engineer - AI Workflows
Xero
Vancouver, BC
- Full-time
As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer,…
Added 1 month ago
S
Senior DevOps Engineer
SOVRA
Remote, Canada
- Full-time
- Remote
SOVRA is adding a Senior DevOps Engineer to support the engineering team responsible for its public sector platform. This role was created to meet the operational demands of a growing cloud…
Added 1 month ago
V
Staff Infrastructure Engineer
VGS
Canada
- Full-time
…consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems that demand…

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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