Applied AI Engineer - Canada

Pulsora

$90K — $130K *
US-AnywhereRemote in Calgary, AB
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field preferred, or equivalent hands-on experience
  • 1-2 years of experience in building AI-powered applications and deploying LLM-powered solutions
  • Experience integrating major LLM APIs like OpenAI, Anthropic, and Gemini
  • Working knowledge of prompt design and multi-step workflows
  • Practical experience with AI-assisted coding tools and CI/CD processes
  • Experience with debugging production issues and optimizing system performance
  • Ability to define evaluation strategies for AI outputs.

Responsibilities

  • Build and deploy AI-powered applications using LLMs and agent systems
  • Own the complete product lifecycle from concept to production
  • Develop prompt strategies and agent workflows for GenAI systems
  • Integrate and optimize leading LLM APIs for performance
  • Use AI-assisted coding tools to enhance development efficiency
  • Establish testing strategies including unit and end-to-end testing
  • Collaborate with cross-functional teams to deliver impactful features.

Benefits

  • High ownership and autonomy in your role
  • Opportunity to work end-to-end on AI-first product development
  • Access to cutting-edge technologies in AI-driven software development
  • Work in a fast-moving, execution-focused culture
  • Be part of a team dedicated to solving significant global challenges
  • Hybrid-friendly work environment with in-office expectations.
  • Salary, equity, and comprehensive benefits package.
Full Job Description
About the job

We are seeking a highly skilled and experienced engineer who can independently build and scale full-stack products while designing and deploying reliable LLM-powered systems and agent workflows in production.

What you will do
  • Build & Ship AI-Powered Products
    • Design, develop, and deploy LLM-powered applications and agent-based systems in production
    • Own the full product lifecycle from concept 12 production 12 iteration across backend and frontend
    • Build scalable, maintainable systems that solve real customer problems
  • Design & Operate GenAI Systems
    • Develop prompt strategies, context management (RAG, memory), and agent workflows
    • Integrate and optimize across leading LLM APIs (OpenAI, Anthropic, Gemini, open-source)
    • Continuously improve system quality, reliability, and performance
  • Leverage AI-First Development Workflows
    • Use AI-assisted coding tools (e.g., Cursor, Copilot, Claude Code) to accelerate development
    • Validate, test, and safely integrate AI-generated code into production systems
    • Contribute to evolving best practices for AI-first engineering
  • Ensure Quality, Reliability & Performance
    • Own testing strategy including unit, integration, and end-to-end testing
    • Define and implement evaluation frameworks for AI outputs (quality, consistency, failure modes)
    • Debug production issues and optimize for latency, cost, and scalability
    • Take full ownership of system reliability and production stability
  • Collaborate & Execute in Fast-Moving Environments
    • Translate ambiguous requirements into working solutions
    • Partner with product, design, and customer-facing teams to deliver impactful features
    • Collaborate effectively with distributed and offshore engineering teams
  • Advance AI & Product Capabilities (Nice to Have Contributions)
    • Build advanced agent systems (planning, orchestration, parallel execution)
    • Apply frameworks like LangChain, LangGraph, or similar where appropriate
    • Explore fine-tuning, evaluation frameworks, and benchmarking techniques
    • Contribute to intuitive, user-friendly AI-driven experiences and human-in-the-loop workflows
About you
  • Bachelors degree in Computer Science, Engineering, or related field preferred (or equivalent hands on experience)
  • 1-2 years of experience building AI-powered applications (AI agents or AI-assisted coding) and building and deploying LLM-powered applications or agents in production
  • Experience integrating major LLM APIs (e.g., OpenAI, Anthropic, Gemini, open-source)
  • Working knowledge of prompt design, context management (RAG, memory, tool use), and multi-step/agentic workflows
  • Ability to take products from concept to production and iteration across backend and frontend systems, including working across the full engineering lifecycle
  • Practical experience using tools like Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely integrate AI-generated code into production (validation, CI/CD)
  • Experience debugging production issues, optimizing performance (latency, cost), and building maintainable systems
  • Ability to define evaluation strategies for AI outputs (quality, consistency, failure modes) and experience with AI-driven testing and reliability practices
A little more about how you like to work
  • Strong collaboration across a small team, including great communication with both onshore and offshore departments and translating vague requirements into actionable systems.
  • Self-motivated and proactive-you create momentum without needing direction
  • A strong problem solver who can navigate ambiguity
  • A builder who cares about shipping real, working products
  • Comfortable with ownership, accountability, and high expectations
  • Thrives outside of traditional work structures
  • You own the quality of the product you build


Why this role?
  • High ownership and autonomy
  • Opportunity to build products end-to-end using AI-first workflows
  • Work at the cutting edge of AI-driven software development
  • Work with multiple leading-edge technologies
  • Fast-moving, execution-focused culture
  • Work for the industry leader and innovative company
  • You get to work on a solution that helps the planet and helps us all

Please note that we are unable to offer employer-sponsored visas in Canada at this time.

We believe that progress happens by bringing together people from all walks of life who have the drive and the influence to improve our world now and for the next generations!
  • Ideally have industry and market knowledge of ESG and sustainability
  • The company will pay with salary, equity, and benefits
  • Youll get to work on problems that are hard and important
  • You get to work on a solution that helps the planet and helps us all
  • Youll be joining an extraordinary team at the beginning of an extraordinary journey
  • Hybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)


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