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GCP Platform Engineer
Quantiphi
Canada
Full-time
We are looking for a highly skilled Senior Platform Engineer to design, optimize, and scale infrastructure for GenAI and LLM workloads. This role is ideal for someone with deep hands-on…
Sr Analyst, DevOps
Brookfield
Toronto, ON
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Lead, AI/Machine Learning Engineer
OMERS
Toronto, ON · Head Office Toronto
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Intermediate Full Stack Software Engineer
AltaML
Calgary, AB
$90,000 to $110,000 CAD / year
Full-time
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…
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
$90,000 to $110,000 CAD / year
Full-time
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…
Software Engineer, North for Finance
Cohere
Remote, Canada
Full-time · Remote
…they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their…
Software Engineer - Enterprise Platform
Baseten
Montreal, Quebec
$165,000 to $330,000 USD / year
Full-time
As a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This…
Senior Product Designer, Autonomy Data & Tooling
Waabi
Toronto, ON
$100,300 to $200,000 USD / year
Full-time
We're seeking a Senior Product Designer to own the human-in-the-loop workflows at the core of how Waabi turns raw driving data into a safer autonomy stack: the software environments where…
Staff Software Engineer, AI/ML Infrastructure
Thumbtack
Remote, Canada
Full-time · Remote
As a Staff Software Engineer on the team, you will be a senior technical leader on a team whose systems sit in the critical path of every AI-powered experience at Thumbtack. You will set…
Member of Technical Staff, Agentic Environments
Cohere
Remote, Canada
Full-time · Remote
…can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical…
Senior Java Developer (with Python, AWS and Terraform)
Luxoft
Toronto, ON
Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Senior Java Developer (with Python, AWS and Terraform)
Luxoft
Toronto, ON
Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Senior Java Developer (with Python, AWS and Terraform) - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
$65 to $85 USD / hour
Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
$128,000 to $158,000 CAD / year
Full-time · Remote
Collaborate with senior engineers on design decisions; take on new assignments with general guidance rather than owning architecture calls solo.
Frontend Engineer
Baseten
Montreal, Quebec
$190,000 to $300,000 USD / year
Full-time
We’re looking for a Senior Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and…
Sr. Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
$150,000 to $180,000 CAD / year
Full-time · Remote
We're building a new engineering team under the SVP, Engineering & AI/ML to accelerate Blackpoint Cyber's ML/AI capability. As a Senior Software Engineer on this team, you'll own back-end…
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
Full-time
…Staff MLE hires will establish the architectural foundations, engineering standards, reusable tooling strategy, and platform roadmap that the Senior MLE team will…
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
Full-time
We are seeking a Senior Data Scientist with deep expertise across the full spectrum of modern AI - from classical predictive modelling to large language models, agentic AI systems, and…
Principal Platform Engineer - Kubernetes & Cloud Infrastructure
Ombud
Quinte West, Ontario
We're hiring a Principal Platform Engineer to own that foundation. This is a senior individual contributor role with broad architectural authority. You will not have direct reports. You…
Principal MCP/AI Developer
Autodesk
Toronto, ON · ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
Mentor senior engineers, partner with Product/UX/Applied AI on long-term roadmap, and stay hands-on in the most critical areas of the system.
Machine Learning Engineer , Amazon Customer Service
Amazon
Vancouver, British Columbia
…research into production-ready systems and consult with data engineers to ensure high-quality feature and knowledge pipelines. As a senior member of the team, you'll also mentor junior…
Software Engineer - Solutions
Suger
Vancouver, British Columbia
$90,000 to $130,000 CAD / year
Full-time
We’re hiring a Senior Software Engineer - Solutions to work directly at the intersection of product engineering and customer integrations.
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
Full-time
As a Senior Software Developer on our AI team, you will be a hands-on individual contributor who sets the technical bar for the internal AI research platform that accelerates Xanadu's R&D.…
Master Data Management - Manager
Deloitte
Toronto, ON
Full-time
As a Manager and Senior Architect on our Data Modernization & Analytics team within the AI & Data practice, you own the architecture and delivery quality of Deloitte's most complex master…

AltaML

Intermediate Full Stack Software Engineer

Edmonton, AB, Canada

Pay: $90,000 to $110,000 CAD / year
Job type: Full-time
Apply by: Jan 23, 2027

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Develop and deploy end-to-end ML-powered applications using an AI-native workflow with tools like Claude Code and Cursor. Responsibilities include building RESTful APIs on Azure, creating modern front-end components, and implementing RAG and LLM features.

Requirements

Requires 3-5 years of professional full stack experience and a degree in Computer Science or a related field. Candidates must be proficient in a modern OO language, cloud services (ideally Azure), and have daily experience using AI coding assistants.

Experience

2 to 5 years

Education

bachelor degree

Working hours

40 hours per week

Work arrangement

Hybrid

Skills

Full Stack Development
Azure
C#
Python
TypeScript
React
Vue
Angular
RESTful APIs
Docker
Git
LLM Integration
Prompt Engineering
RAG
Unit Testing
AI-Assisted Development

Benefits

Uncapped Vacation
Competitive Benefits
Hybrid Work Environment

Visa sponsorship

Not detected in the job text

Keywords

Full Stack
AI-Native
Claude API
Azure OpenAI
RAG
Cursor
GitHub Copilot
Docker
Git
C#
Python
TypeScript
React
Vue
Angular
RESTful APIs
xUnit
Pytest
Postman
Azure Functions
Azure App Service
Azure Blob Storage
LangChain
LangGraph
Autogen
CI/CD
Azure DevOps
GitHub Actions
Agile
Responsible AI

Original job description

About Us:

AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.

We are a company like no other – we believe in making small bets, failing fast, and being better together. We are looking for creative problem-solvers who obsess about the customer to find wins across different industries.

We don’t hire for fit; we hire to add. We are looking for people who play our core values of being: 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 will thrive in this role if you are a builder who leans on Claude Code to move fast without cutting corners. You write clear specs, review AI-generated code critically, and know when to delegate to an agent versus when to handcraft. You are curious about where LLMs fit (and where they don’t), and you bring a practical, evidence-based instinct to that question.

What You'll Do:

Full Stack Feature Delivery

Implement features end-to-end across front-end, back-end, and cloud infrastructure layers, taking ownership from design through deployment
Build and integrate RESTful APIs and cloud-hosted services, primarily on Azure, following established architecture patterns and security standards
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

LLM Feature Development

Build features that incorporate LLM calls via the Claude API or Azure OpenAI, including prompt design, context management, response handling, and cost-aware API usage
Implement RAG components and tool integrations as part of product features, working within established architecture patterns and contributing to their evolution
Write evaluation harnesses for LLM-powered features: regression tests for prompt behaviour, output quality checks, and agent tool use validation
Document LLM feature behaviour clearly: what the system does, what it does not do, known failure modes, and the guardrails in place
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

Participate actively in epic-level and feature-level design discussions, contributing well-reasoned proposals backed by research or prototype evidence
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

Collaboration & Growth

Participate in code reviews constructively - give specific, actionable feedback and incorporate peer feedback into your own work without defensiveness
Collaborate closely with ML engineers, data engineers, and product managers within the pod, understanding adjacent work well enough to minimize integration friction
Contribute reusable components, utilities, and internal skills to AltaML’s shared libraries
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

What You Bring:

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
Hands-on, daily-driver experience using Claude (Claude Code, claude.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 modern 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

Nice to Have's:

Experience integrating LLM APIs (Claude, OpenAI, Azure OpenAI) into product features, including prompt design and cost management
Exposure to RAG architectures, vector databases, or tool-augmented LLM workflows
Familiarity with agentic frameworks (LangChain, LangGraph, Autogen, or similar)
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. They should also be empowered to raise and escalate RAI concerns as required.

AltaML is responsible for elevating public discourse and awareness of AI through open, transparent communications with the broader public.

Equal Opportunities

AltaML is dedicated to fostering a safe, diverse, and inclusive workplace as an equal-opportunity employer. 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. If you are invited for an interview and require accommodations during the interview process, please don’t hesitate to let us know.

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.

We Look for A-Players Who:

Express our core values
Are hungry for knowledge
Want to learn new skills
Are respectful
Collaborate with others across the whole company
Share knowledge with coworkers
Educate and promote AI and ML concepts both internally and externally
Have a high work ethic and are self-motivated

Our Perks:

🌴Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.

🚀Make an Impact - Witness the impact your work contribution has on the success of our company.

👩🏿‍💻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.

⚡Big Slack Energy - IYKYK.

Our Culture:

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. We expect hard work but respect work/life balance.

Core Values:

At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer’s expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success.

Gritty - We are entrepreneurial, determined, and resilient, pushing through challenges to achieve our goals.

Agile - We make decisions based on “little bets” creating a safe space to take risks. We embrace an interactive process, allowing ideas to fail quickly or be scaled iteratively. Together, we continuously refine and improve our approach to reach the desired outcome.

Humble - We listen to data, embrace new ideas, admit limitations and take ownership to solve problems. We constantly push ourselves to improve and excel.

Happy - We ignite passion and purpose by fostering a dynamic work environment. We encourage tap dancing to work, common sense over rules, empowering team members to find joy in their contributions, and being your authentic self.

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. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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