Senior Software Engineer

Altaml; Toronto; On-site; CAD 110,000 - 160,000; Full time

Job summary

AltaML is seeking a Senior Software Engineer to lead the implementation of complex features and epics in an AI-first environment. You will own end-to-end technical design, mentor engineers, and model AI-first practices across the pod.

You will also drive technical discovery sessions with clients, act as a technical SME, and contribute to pre-sales efforts, leveraging Claude Code and shared libraries to accelerate delivery.

Qualifications

• 5–8 years of experience, including leading feature- or epic-level work.
• Proven track record using AI coding tools (Claude Code or equivalent) to speed up delivery.
• Strong system design, testing, and mentorship instincts.
• Comfort engaging directly with clients and stakeholders on technical topics.
• Experience standardizing engineering practices or contributing to a shared config/skills library.
• Experience with agentic or GenAI systems in production.

Responsibilities

• Lead implementation of medium-to-large complexity features or epics, decomposing work for others to pick up.
• Own technical design for self-contained or multi-service solutions, including proposing and diagramming the approach.
• Mentor intermediate and junior engineers, and model AI-first practice (shared CLAUDE.md, skills library).
• Lead technical discovery sessions, act as technical SME in client conversations, and contribute to pre-sales.

Skills

AI coding tools

Systems design

Mentorship

Client engagement

Feature/epic leadership

Stakeholder collaboration

Config/library standardization

GenAI production

Tools

Claude Code

AltaForge

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.

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.

• 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.

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

• 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.