AI Engineer - Canada

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

Job summary

Pulsora is seeking an AI/ML Developer to work remotely in Canada, specializing in Large Language Models and generative AI. The ideal candidate will have 5+ years of software development experience, with a strong background in Python and extensive knowledge of LLM APIs and frameworks like LangChain. Responsibilities include developing production-grade applications and collaborating with teams across North America. The position offers a salary range of CA$60K to CA$70K and equity options.

Qualifications

• 5+ years of professional experience in software development with 2 years in AI/ML.
• Strong background in developing and optimizing LLMs.
• Experience with framework integration like LangChain.

Responsibilities

• Design, develop, and deploy applications with LLMs.
• Implement complex agentic workflows using LangChain.
• Build and optimize RAG pipelines for enhanced response quality.

Skills

Python proficiency

LLM APIs integration

LangChain experience

RAG architecture knowledge

Java experience

React for UI development

AI Copilot usage

Collaboration skills

Education

Undergraduate degree in Computer Science or similar

Tools

Pandas

NumPy

Scikit-learn

React

Job description

Location

Remote Canada

Employment Type

Full time

Location Type

Remote

Department

Engineering

Compensation

• CA$60K – CA$70K • Offers Equity

We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will be a specialist in the rapidly evolving field of Large Language Models (LLMs) and generative AI, with a strong background in developing, integrating, and optimizing complex agentic and RAG-based systems.

What you will do

• LLM Integration & Development: Design, develop, and deploy production-grade applications leveraging various LLMs, context optimization, etc.
• Agentic Workflows: Architect and implement sophisticated, multi-step and multi-agent workflows using frameworks like LangChain and LangGraph.
• Retrieval Augmented Generation (RAG): Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases, and advanced rerankers to enhance response quality and relevance.
• Vibe Coding: Use code generation applications (e.g. Replit, Cursor, Google AI Studio, Git Hub Copilot in Agent mode, etc.) to create full applications (including frontend and backend), generate tests, perform testing and integrate them in the core product without writing any code.
• LLM Fine Tuning: Lead efforts in LLM fine-tuning (e.g., LoRA, QLoRA) for specific domain knowledge and tasks, and implement strategies for and efficiency.
• Prompt Engineering: Develop and refine advanced prompt engineering techniques to maximize model performance, consistency, and safety.
• Full-Stack Development: Own end-to-end implementation from frontend to the backend.
• Java (Plus): Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python.
• Code Quality & Productivity: Utilize AI-powered development tools (e.g., GitHub Copilot, etc.) to efficiently generate, refactor, and optimize high-quality code.
• Collaboration: Work closely with team leads managers, QA, product managers and team in the US (this will require the willingness to partially work US working hours).

About you

• Undergraduate degree in Computer Science or similar Engineering field, advanced degree is a plus
• 5+ years of professional experience in software development, with a minimum of 2 years focused on AI/ML development, particularly with LLMs
• Strong proficiency in Python and its relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn)
• Proven experience integrating and working with major LLM APIs - both public and private/local, e.g., Gemini, OpenAI, Anthropic, Llama, Ollama, etc., including hands-on experience using techniques for LLM efficiency
• At least 1 year of deep practical experience with LangChain and LangGraph for building complex LLM applications and agentic workflows using autonomous agents, tools, memory management, parallelization, etc.
• Solid understanding and implementation experience with RAG architectures, vector DBs, vector search, embeddings, and reranking mechanisms
• Experience leveraging AI Copilot or similar generative AI coding tools for accelerated development, code generation, refactoring, optimization, and vibe coding to create integrated backend and frontend applications
• Experience creating UI using React and integrating the UI with the backend using REST APIs is a big plus
• Hands-on experience with Java, especially integrating Java modules with Python modules is a nice to have, but not necessary

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