Staff Software Engineer – AI, Platform

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Alygra

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

🤝 B2B

🎯 Recruiter

Consulting • B2B • Recruitment

Alygra is a Canada-based people and growth consultancy that provides fractional HR, people operations, specialized recruitment, and brand strategy/design for tech startups and small-to-medium businesses. Founded by Natalie Loop, a fractional Chief People Officer with 15+ years of HR experience, Alygra offers flexible hourly, hybrid, or project-based models to help founders scale without hiring full-time HR. Services include recruitment, onboarding, payroll and labour compliance support, organization design, conflict mediation, multicultural sensitivity coaching, and access to a vetted network of freelance experts. Alygra supports clients across North America and Europe, with a stated sweet spot in SaaS, fintech, HR tech, and environmental tech companies.

📋 Description

• Help establish and execute technical strategy across platform architecture, developer experience and AI-enabled engineering • Translate engineering objectives into roadmaps, architectural decisions and technical standards • Identify technical gaps, dependencies and risks affecting scalability, reliability or engineering velocity • Influence architecture across multiple engineering teams while contributing to implementation • Evolve engineering practices toward an AI-native development model • Integrate AI into development, testing, debugging, documentation and operational workflows • Design or implement internal AI tools, integrations, plugins and reusable capabilities • Explore and implement agentic workflows and autonomous engineering systems • Establish standards and guardrails for effective and responsible AI usage • Coach engineers on incorporating AI into daily workflows • Address scale, performance, reliability and distributed-systems challenges • Improve platform capabilities and internal tooling used by engineering teams • Develop reusable libraries, frameworks and infrastructure • Investigate systemic or high-impact technical issues and drive resolution • Balance scalability, security, product requirements and delivery speed in architectural decisions • Partner with engineers through technical reviews, architecture discussions, pairing and coaching • Introduce patterns and practices improving maintainability, reliability and development velocity • Act as a senior technical partner to engineering leadership • Own ambiguous, cross-functional technical initiatives from problem definition through implementation

🎯 Requirements

• 10+ years of professional software engineering experience, including significant experience designing and building scalable systems • Approximately 6+ years working with distributed systems, platform architecture or similarly complex technical environments • Previous experience operating at Staff Engineer, Principal Engineer, Technical Lead or an equivalent level of technical influence • Experience designing technical roadmaps and making architectural decisions across multiple systems or engineering teams • Strong hands-on engineering skills • Experience with high-traffic or high-scale digital platforms where reliability, performance and availability are critical • Practical experience introducing or scaling the use of AI within engineering teams • Experience with AI-assisted software development and developer tooling • Experience with internal AI tools, integrations, plugins or engineering utilities • Experience with AI-enabled development, testing or operational workflows • Experience with agentic architectures and multi-step AI workflows • Experience with autonomous or semi-autonomous agents • Experience with developer productivity and AI adoption programs • Experience influencing engineers across multiple teams without relying on direct management authority • Strong understanding of trade-offs between engineering, product, security and compliance • Experience with platform engineering, developer experience (DX), internal tooling or shared engineering infrastructure • Experience creating reusable libraries, frameworks or tools that improve engineering productivity and software quality • Strong communication skills and ability to bring structure to technically ambiguous problems • Relevant experience with JavaScript / TypeScript, React, Next.js, Node.js, AWS, distributed and cloud-native architectures, and modern AI development tools and frameworks • Comfortable operating within a modern JavaScript/TypeScript and cloud-based environment • Legally able to work as an independent contractor and issue monthly invoices

🏖️ Benefits

• Additional information about benefits will be provided during the interview process