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Added 7 mins ago
Mechanical Engineer - ENG3
WF Group Inc.
Toronto, ON
Please send me the Mechanical Engineer Job description for editing before prepping an offer letter
Added 7 mins ago
T
Software Engineer I - Development and Quality Engineering
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- Full-time
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DevOps Engineer or Platform Engineer with AI - FTE
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Halifax, NS
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Added 41 mins ago
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Full Stack Engineer
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We are now hiring an Full Stack Engineer, based in Montréal.
Added 41 mins ago
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Structural Designer
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Added 41 mins ago
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Aircraft Maintenance Engineer, Heavy Maintenance
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AltaML

Senior Software Engineer

Toronto, ON, Canada

$130,000 to $150,000 CAD / year · Full-time

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Job details

Pay: $130,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Nov 5, 2026
Experience: 5–8 years of experience, including leading feature- or epic-level work.
Posting language: English
Posted: Sep 12, 2026

Original job description

Engineering @ AltaML - How We Work:

We are an AI-first company. Claude Code and AltaML's shared configuration and skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people use.
We expect dramatically higher productivity from working this way. A step change, not a marginal gain. That's the baseline we hire and promote against, not an aspirational ceiling.
We believe AI has compressed what used to take weeks into days, and what used to take days into hours. Estimates, sprint commitments, and delivery timelines should reflect that reality, not pre-AI habits.
Show us, don't tell us. As part of applying, share an example of your AI-assisted coding: a PR, a repo, a recorded session, or whatever best demonstrates how you actually work with AI day to day.
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.

The Senior Software Engineer leads implementation of complex features and epics, owns technical design end to end, and multiplies the pod's output - both by mentoring other engineers and by modeling what AI-first engineering actually looks like in practice.

What You'll Do:

Feature & Epic Implementation (:45%)

Lead implementation of medium-to-large complexity features or epics, decomposing the work into tasks other engineers can pick up.

Architecture & Solution Design (:20%)

Own technical design for self-contained or multi-service solutions, including proposing and diagramming the approach.

Mentorship & Code Review (:20%)

Actively mentor Intermediate and junior engineers, and model AI-first practice (shared CLAUDE.md, skills library) so it spreads through the pod rather than staying one person's habit.

Client & Stakeholder Engagement (:15%)

Lead technical discovery sessions, act as technical SME in client conversations, and contribute to pre-sales.

What You Bring:

5–8 years of experience, including leading feature- or epic-level work.
A track record of using AI coding tools (Claude Code or equivalent) to materially speed up delivery - you can speak concretely to how, not just that you use one.
Strong system design, testing, and mentorship instincts.
Comfort engaging directly with clients and stakeholders on technical topics.

Nice to Have

Experience standardizing engineering practices or contributing to a shared config/skills library.
Experience with agentic or GenAI systems in production.

What Success Looks Like

Complex Feature/Epic Leadership: Leads complex features and epics through to delivery with a consistently low post-deployment defect rate.
AI-Accelerated Technical Design: Turns requirements into approved technical designs in a fraction of the time it used to take, using AI-assisted design and prototyping - the weeks-to-days compression this role is expected to drive for the pod.
Reusable IP & AltaForge Contribution: Ships or evolves reusable components into AltaForge or shared libraries that see strong adoption elsewhere - moving the AltaForge Clients and Same-Agent-Across-Clients north stars.
Mentorship Impact: Runs regular mentoring/pairing sessions with clear, visible skill growth in mentees.
Client Confidence: Leads technical discovery/SME sessions that consistently earn strong client satisfaction - supporting USD Revenue % and Recurring License Sales % where the engagement is US-based or license-oriented.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Lead complex feature and epic implementation, decompose work for the engineering team, and own technical design from proposal through delivery. Mentor engineers, model AI-first development practices, and lead technical discovery and client-facing discussions.

Requirements

Requires 5–8 years of experience, including leading feature- or epic-level work, and a demonstrated ability to use AI coding tools to materially accelerate delivery. Candidates should have strong system design, testing, and mentoring skills, and be comfortable discussing technical topics with clients and stakeholders.

Skills

Feature Implementation
Epic Leadership
Technical Design
System Design
AI-Assisted Coding
Claude Code
Software Testing
Mentorship
Code Review
Client Engagement
Technical Discovery
Stakeholder Communication
Architecture
Agentic Systems
Generative AI

Visa sponsorship

Not detected in the job text

Keywords

Claude Code
AI-First Engineering
AI-Assisted Coding
Shared Configuration
Skills Library
Feature Implementation
Epic Leadership
Task Decomposition
Technical Design
System Design
Architecture
Multi-Service Solutions
Software Testing
Mentorship
Code Review
Client Engagement
Technical Discovery
Pre-Sales
Agentic Systems
Generative AI
AltaForge
Reusable Components
Shared Libraries
Post-Deployment Defect Rate
Stakeholder Communication

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