Applied AI Engineer - Canada

Pulsora; Canada; On-site; CAD 60,000 - 70,000; Full time

Job summary

Pulsora, a leading software startup in Canada, is seeking a full-time AI Engineer. In this remote role, you'll develop and deploy AI-powered products, leveraging LLM APIs to solve real customer problems. Applicants should have a Bachelor's degree in Computer Science or Engineering, with 1-2 years of relevant experience integrating LLM technologies. The position offers a compensation range of CA$60K - CA$70K and a culture focused on innovation and collaboration.

Qualifications

• 1-2 years of experience building AI-powered applications.
• Experience integrating major LLM APIs.
• Working knowledge of prompt design and multi-step workflows.

Responsibilities

• Develop and deploy LLM-powered applications.
• Define testing strategies and ensure system reliability.
• Collaborate effectively with distributed engineering teams.

Skills

AI-powered application development

Integration of LLM APIs

Debugging performance issues

Prompt design and management

Education

Bachelor’s degree in Computer Science or Engineering

Tools

OpenAI

Claude Code

Cursor

Microsoft Copilot

Job description

Location

Remote Canada

Employment Type

Full time

Location Type

Remote

Department

Engineering

Compensation

• CA$60K - CA$70K • Offers Equity

Founded in 2021, Pulsora the “Enterprise Sustainability Platform”, is a well‑funded Silicon Valley software startup. It is dedicated to empowering purpose‑driven enterprises to manage and improve their environmental, social, and governance (ESG) and overall sustainability footprint with an integrated, comprehensive, flexible, and innovative technology platform built for compliance, tracking, and insight. We are well funded, have amazing customers across industries and geographies, established strategic partnerships with leading ERP and consulting firms, and are growing fast!

About the job

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 to production to 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

• Bachelor’s 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

Compensation Range

CA$60K - CA$70K