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Added 24 days ago
Lead Agentic AI Researcher
LG Electronics Canada
Toronto, ON
Full-time
As a technical leader, you will define research direction and architecture for agentic AI capabilities such as lifelong learning, hierarchical memory, autonomous planning, and personalized…
Added 24 days ago
Strategic Data Architect for Social Impact (Spanish)
Cuso International
Toronto, ON · Greater Toronto Area, Canada
Volunteer
…populations and confidential data. The ideal volunteer can translate technical data guidance into clear, practical processes that non-technical teams can confidently…
Added 24 days ago
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
Full-time
We are looking for Forward Deployed Engineer (FDE) - Data Architect, who will directly engage with cross-functional business, AI, and engineering teams to design and deploy scalable,…
Added 24 days ago
Unified Communications Voice Engineer (ID#5411)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
Contract
The role provides advice, technical information, and guidance to project teams, investigating alternative options for proposed Voice communication solutions and supporting the…
Added 24 days ago
System Engineer
Qidni Labs
Kitchener, ON
Full-time
…and performance. The role involves diagnosing and resolving technical issues, providing hands-on troubleshooting and technical support, and contributing to the continuous improvement of…
Added 24 days ago
Databricks Architect (Cloud, Data & AI)
KData AI
Brampton, ON
Full-time
We are seeking a Databricks Architect to lead the vision, design, and execution of large-scale, enterprise-grade Databricks Lakehouse architectures across multi-cloud and hybrid…
Added 24 days ago
Lead Software Engineer
Bankjoy
Remote, Canada
Full-time · Remote
We are looking for a Lead Software Engineer to own the technical direction and execution of Bankjoy's Online Account Opening (OAO) and Online Loan Application (OLA) products, one of our…
Added 13 days ago
Lead AI Architect
McKesson
Mississauga, ON
Full-time
We are seeking a Lead AI Architect to define and guide enterprise-grade architecture for AI-enabled, mission-critical products and platforms. In this role, you will translate business…
Added 20 days ago
Sr. Manager, Solutions Architects, CANPS NatSec/FedCiv
Amazon
Ottawa, ON · Toronto, ON
…candidate will have past experience working as a Solutions Architect or similar role and managing a team of Solutions Architects. You will enjoy keeping your existing technical skills honed…
Added 20 days ago
Architecte d'ingénierie de système / System Engineering Architect
Smardt
Dorval, QC
Full-time
The System Engineering Architect II independently executes system engineering work packages fo
Added 20 days ago
Architect IV
CannonDesign
Toronto, ON
$94,915 to $118,593 CAD / year
The successful candidate will perform the role of Architect and will be responsible for leading the development of many technical aspects and content of projects, coordinating work with all…
Added 29 days ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…our AI innovation center. As a Lead ML Engineer, you'll be a technical champion driving this transformation - building breakthrough ML systems that others will study, mentoring engineers…
Added 22 days ago
Customer PreSales Solutions Architect- Wholesale Solutions
TELUS
Montreal, QC
We are seeking a Customer Solutions Architect (Sales Engineer) to prime pre-sales solutioning across our data, voice, mobility, and IoT portfolios and, drive success and experience post…
Added 20 days ago
Engineering Manager, Mobile
Eventbase
Remote, Canada
$155,000 to $190,000 CAD / year
Full-time · Remote
…platform. This role is ideal for someone who is both a hands-on technical leader and an experienced engineering manager, with deep expertise in mobile development across iOS, Android, and…
Added 24 days ago
IT Architect
Aversan Inc.
Montreal, QC · Greater Montreal Metropolitan Area
$120,000 to $145,000 CAD / year
Full-time
We are currently seeking a qualified IT Architect and a senior architect who can bridge business objectives, operational requirements, and technology decisions into a cohesive enterprise…
Added 25 days ago
Senior Architect
Egis in Canada
Toronto, ON
$90,000 to $120,000 CAD / year
Full-time
WW+P is looking for a Technical and Revit-capable Senior Architect for our Toronto Studio, with experience across all phases of project delivery. This position is both design- and…
Added 1 month ago
Intermediate Full Stack Software Engineer
AltaML
Calgary, AB
$90,000 to $110,000 CAD / year
Full-time
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
Added 1 month ago
Senior Manager, Hardware Integration
Sonova AG
Kitchener, ON
Partner with systems architects to develop future technical concepts for implementation in hearing-instrument products.
Added 21 days ago
Principal Engineer, AI Production Readiness
Workday
Toronto, ON · Canada, ON, Toronto
Full-time
We are seeking a Principal AI Engineer to own the technical path that carries internally built AI agents from prototype to enterprise-grade production on Workday’s Databricks and AWS…
Added 21 days ago
Bilingual Enterprise Solutions Architect
Arctiq
Montreal, QC
Full-time
The Enterprise Solution Architect at Arctiq serves as a key technical pre-sales resource, working closely with Client Directors to identify, qualify, and develop customer solutions across…
Added 21 days ago
Senior Business Intelligence Analyst
Lifemark Health Group
Toronto, ON
$90,000 to $105,000 CAD / year
Full-time
Communicate insights, recommendations, and technical concepts to both technical and non-technical audiences
Added 21 days ago
Senior Enterprise Software Developer
Motorola Solutions
Vancouver, BC
Full-time
You will architect and own the end-to-end solutions while upholding the highest standards of engineering excellence. In this role, you will drive the technical design of robust integrations…
Added 20 days ago
IT Team Lead, End User Experience (EUE)
West Fraser
Vancouver, BC
Full-time
…at West Fraser. In this working lead role, you will set the technical standard for endpoint support and engineering, mentor a team of experienced specialists, and help ensure employees…
Added 21 days ago
Product Support Specialist
Thales
Vancouver, BC
Full-time
Location: Vancouver - Burrard St, CanadaThales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to…
Added 21 days ago
Technical Architect, Google
TMX Group
Toronto, ON
Full-time
We are seeking a highly skilled and strategic Solution Architect, Google Workspace & Gemini AI to lead the design, security, and operational enablement of our enterprise Google ecosystem.…

AltaML

Intermediate Full Stack Software Engineer

Calgary, AB, Canada

Pay: $90,000 to $110,000 CAD / year
Job type: Full-time
Apply by: Sep 26, 2026
Experience: 3–5 years of professional full stack development experience, with a track record of shipping production features end-to-end
Posting language: English
Posted: Aug 2, 2026

Apply About employer

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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.

Apply About employer

More about this job

Responsibilities

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

Requirements

Requires 3-5 years of professional full stack experience and daily proficiency with AI-assisted coding tools. Candidates should be skilled in a modern OO language, cloud services (Azure), and modern JavaScript frameworks.

Skills

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

Benefits

Uncapped Vacation
Competitive Benefits
Hybrid Work Environment

Visa sponsorship

Not detected in the job text

Keywords

Claude
Claude Code
Azure OpenAI
Cursor
GitHub Copilot
RAG
Vector Databases
LangChain
LangGraph
Autogen
xUnit
Pytest
Postman
Docker
Git
CI/CD
Azure DevOps
GitHub Actions
REST API
TypeScript
Python
C#
React
Vue
Angular
Agile
Responsible AI
Full Stack
LLM
Cloud Infrastructure

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