AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions. AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions. We are looking for creative problem‑solvers who obsess about the customer to find wins across different industries.

Agile, Gritty Humble, and Happy. If you’re passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you! We are looking for a Full Stack Software Engineer who builds software in an AI-native way — someone who treats Claude and the latest agentic coding tools as a core part of their craft, not a novelty.

In this role, you will contribute to the technical delivery of ML-powered applications across cloud services, APIs, and modern front-end frameworks, with Claude Code, the Claude API, and agentic workflows woven into how you design, build, and ship. You will be an active contributor within your project pod, shipping features end-to-end, participating in technical design discussions, and growing your ability to translate business requirements into well-engineered solutions. You will take ownership of your work – writing clean, reviewable code, contributing to shared internal frameworks, and continuously developing your fluency with AI-assisted development.

You write clear specs, review AI-generated code critically, and know when to delegate to an agent versus when to handcraft. Implement features end-to-end across front-end, back-end, and cloud infrastructure layers, taking ownership from design through deployment Develop front-end components using modern JavaScript/TypeScript frameworks, with attention to usability, performance, and maintainability Write unit, integration, and API tests as a standard part of delivery – not an afterthought – using frameworks appropriate to the stack (xUnit, Pytest, Postman, or similar) Use Docker for local development, environment parity, and containerized deployments Manage work in Git with clean branching, meaningful commit history, and effective collaboration with AI agents in the same workflow Write evaluation harnesses for LLM-powered features: regression tests for prompt behaviour, output quality checks, and agent tool use validation Develop growing awareness of when LLM-in-the-loop is the right architecture decision versus a conventional software approach – and contribute that perspective in design discussions Technical Design & Problem-Solving Use Claude to accelerate technical research: explore design alternatives, evaluate libraries, and investigate unfamiliar domains quickly – then synthesize findings into a clear recommendation Identify and flag technical risks within your work scope early, with enough supporting detail for the tech lead or architect to make an informed decision Produce clear technical documentation: decision records, implementation notes,



and design summaries that a future team member can act on AI-Native Development Use Claude Code and AI-assisted development tools (Cursor, GitHub Copilot, and similar) as a standard part of the engineering workflow – for prototyping, code generation, refactoring, documentation, and debugging Write clear, well-structured prompts and development specs that enable AI agents to produce useful, reviewable output – not vague instructions that generate noise Review AI-generated code with the same rigour as human-authored code: check for correctness, edge cases, security issues, and maintainability before merging Develop growing fluency in agentic development patterns: structuring repos for agent navigation, decomposing tasks into agent-friendly units, and knowing when human authorship is the right call Contribute to internal discussions on AI tooling effectiveness – share what is working, what isn’t, and help refine the team’s approach Collaborate closely with ML engineers, data engineers, and product managers within the pod, understanding adjacent work well enough to minimize integration friction Engage in sprint ceremonies, stand-ups, and retrospectives as an active team member – raise blockers early, communicate progress clearly, and contribute to continuous improvement Proactively seek feedback from peers and tech leads to accelerate your own growth toward senior-level ownership and technical leadership Degree or equivalent work experience in Computer Science, Software Engineering, or a related technical discipline ~3-5 years of professional full stack development experience, with a track record of shipping production features end-to-end ~ ai, or the Claude API), Cursor, or GitHub Copilot for real software engineering work – not just occasional use ~ Strong working experience with cloud services, ideally Azure (Functions, App Service, Blob Storage, Azure OpenAI, or similar) ~ Proficiency in a contemporary object‑oriented language – C#, Python, TypeScript, or equivalent – with a clear point of view on writing clean, maintainable code ~ Experience building and consuming RESTful APIs and integrating third‑party services ~ Solid front‑end experience with a modern JavaScript/TypeScript framework (React, Vue, Angular, or similar) ~ Experience writing unit and API tests as a standard part of delivery (xUnit, Pytest, Postman, or similar) ~ Comfortable with Docker for local development and containerized deployments ~ Proficiency with Git,



including working effectively in a branch‑based workflow alongside AI agents ~ Experience working in an Agile environment with iterative delivery cycles ~ Strong written and verbal communication skills – able to articulate technical decisions clearly to peers and participate confidently in client‑facing discussions Exposure to RAG architectures, vector databases, or tool‑augmented LLM workflows Experience writing evaluation harnesses or regression tests for LLM‑powered features Exposure to CI/CD pipelines and automated deployment workflows (Azure DevOps, GitHub Actions, or similar) Prior experience in a consulting, applied AI, or client‑delivery environment Contributions to open‑source projects or internal platforms Responsible AI (RAI) AltaML employees, contractors, and associates must be trained and well‑versed in the importance of Responsible AI and empowered to enact RAI principles by developing and deploying AI solutions. AltaML is responsible for elevating public discourse and awareness of AI through open, transparent communications with the broader public.

We welcome applications from qualified individuals of all backgrounds, encompassing ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and educational backgrounds. AltaML acknowledges that its head office is located on Treaty 6 territory, and respects the histories, languages, and cultures of First Nations, Métis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our vibrant community. Educate and promote AI and ML concepts both internally and externally Uncapped Vacation - For all full time, permanent employees.

Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.

Competitive

Benefits - For all full time, permanent employees. Office as a Resource - Hybrid work environment with state‑of‑the‑art office spaces that ignite collaboration. You will be working in a high‑paced environment focused on creating unique ML solutions to problems across multiple industries to generate impactful value.

You will be working at a company with employees who have multiple years of industrial and academic experience in data science, software engineering, product development, and machine learning fields. You will be able to experience a collaborative company culture, which means we believe in working hard, getting the job done, and enjoying the group social on Fridays. You’ll also get flexibility in where you work, what hours you work, how much vacation you take, and what you wear.

Agile - We make decisions based on “little bets” creating a safe space to take risks. We listen to data, embrace new ideas, admit limitations and take ownership to solve problems. 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. If you would like more information about how your data is processed, please contact us. #

📌 Full Stack Software Engineer - Full Time (Calgary)
🏢 AltaML
📍 Calgary