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AltaML
Calgary
Source: AltaML careers · View original posting
From AltaML's posting. “We” and “our” refer to the employer.
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 Intermediate Software Engineer independently owns and delivers well-defined, small-to-medium complexity user stories end to end. You work AI-first by default: using Claude Code and AltaML's shared skills library as your everyday workflow, not a novelty. And, you're building the judgment to take on increasingly novel problems without close supervision.
Consistently owns and delivers small-to-medium complexity stories end to end with a fast, predictable cycle time — keeping delivery cost per story down.
Visible, everyday use of AI-first workflows that meaningfully compresses cycle time — the weeks-to-days, days-to-hours shift we expect at every level.
Regularly contributes novel code patterns or components that become candidates for shared libraries or AltaForge — supporting the AltaForge Clients and Same-Agent-Across-Clients north stars.
Resolves the large majority of technical blockers independently, without routinely escalating to senior engineers.
Code review feedback that noticeably improves the quality of peers' work.
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