Full Stack Software Engineer (AI-Native & Agentic Workflows) (Canada)

Full Stack Software Engineer (AI-Native & Agentic Workflows) (Canada)

06 Oct
|
RGIT Australia
|
Canada

06 Oct

RGIT Australia

Canada

Full Stack Software Engineer (AI-Native & Agentic Workflows) Full-time Permanent Mid-level Senior Posted 02 Oct 2026 Founded in Hamilton in 2019, Space Ops Inc. is a technology development company on a mission to make money movement and online commerce faster, smarter, and more secure for everyone in Canada.

We started Space Ops with a simple belief: the software that runs finance and commerce should be as modern, fast, and intelligent as the people who depend on it. In just seven years, we've grown into a trusted engineering partner for 100+ Canadian businesses. We build on the latest and greatest technology, and we've successfully woven AI and automation into everything we do.

Building software has fundamentally changed. We are not looking for engineers who occasionally treat LLMs like an auto-complete widget or a glorified Stack Overflow. We are looking for high-leverage builders who have completely rebuilt their engineering workflows around frontier AI systems, agentic loops, and automated verification harnesses.

In this role, you will architect critical systems, ship high-velocity production code, and set the technical standard for what it means to build software with an AI-native operational cadence. You will design pipelines where multi-model orchestration, deterministic test suites, and autonomous coding agents work together to compress delivery timelines from quarters to days.

Lead System Architecture & Execution: Own end-to-end design and implementation for complex, scalable services—maintaining uncompromising standards for security, performance, and code quality. Architect AI-Driven Pipelines: Design and operate custom multi-model orchestration pipelines. Route reasoning tasks, structural migrations, code refactors, and test generation dynamically across different frontier models based on latency, context window, and capability thresholds.

Deploy and supervise multi-step agentic coding workflows, Model Context Protocol (MCP)servers,



and autonomous background execution loops to automate repetitive architectural patterns and migration workloads.

Elevate Automated Testing & Verification: Build ironclad automated test harnesses (unit, integration, end-to-end, and property-based) that serve as absolute ground truth and guardrails for code produced across human-AI pair programming workflows.

Deep Production Experience: 8+ years of qualified software engineering experience designing, shipping, and maintaining mission-critical backend or full-stack distributed systems in production.

Frontier Model Mastery: You possess a granular, intuitive understanding of model tradeoffs across the major frontier reasoning and coding engines.

Uncompromising Tooling & Workplace Opinions: You have an intentionally designed, battle-tested development environment. Test-First Obsession: You recognize that the bottleneck in modern software delivery is no longer code generation—it is verification and review. You maintain relentless automated test suites and deterministic CI/CD pipelines that prevent regressions before human eyes ever see a pull request.

You draw sharp boundaries between deterministic software engineering principles and stochastic model behaviors.

The Litmus

Test (Who This Role Is Not For) You view AI as an afterthought or a tab-completion plugin. If you haven't fundamentally altered how you scaffold projects, debug failure states, and run code review using LLMs over the past 18 months, this environment will not fit your working style. You rely on manual testing or loose quality gates.





If your codebase lacks rigorous, automated regression suites to validate code at scale, you will struggle with our deployment velocity. If you measure productivity by hours spent manually typing boilerplate rather than business outcomes shipped and verified, this will not be the right team.

Technical

Snapshot ~ Modern distributed architectures (TypeScript/Node, Go, Python, or Rust), microservices/event-driven backplanes, high-throughput databases (PostgreSQL, MongoDB), and cloud-native infrastructure (AWS/GCP, Docker, Kubernetes). ~ AI & Agentic Tooling: Multi-model routing pipelines, Model Context Protocol(MCP), Cursor / CLI-first agent workflows, LangChain/LlamaIndex or custom tool-calling frameworks, evaluation and verification harnesses. ~ CI/CD & Quality: Annual Bonus. ~ Health & Wellness Spending Accounts. ~ On-Site Gym + Fitness Membership Concessions. ~ Coffee Bar with Barista + Unlimited Snacks. ~ Diversity, Equity & Inclusion Statement At Space Ops,we believe that diverse perspectives, experiences, and backgrounds drive innovation and strengthen our ability to serve our customers and communities. We welcome applicants from all backgrounds, including people of any race, ethnicity, religion, gender identity or expression, sexual orientation, age, disability, veteran status, or other characteristic protected by applicable law. If you require accommodation during any stage of the recruitment process, please let us know, and we will work with you to meet your needs.

AI Disclosure: As part of our recruitment process, we may use AI enabled tools to support the screening and assessment of applications. All AI generated recommendations and outputs are reviewed and validated by our recruitment team.

At Space

Ops, we're a team of innovators, problem-solvers, and builders passionate about creating technology that makes a difference.

📌 Full Stack Software Engineer (AI-Native & Agentic Workflows) (Canada)
🏢 RGIT Australia
📍 Canada

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