AI Engineer - Canada

Responsibilities 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 (Replit, Cursor, Google AI Studio, GitHub Copilot in Agent mode, etc.) to create full applications (including frontend and backend), generate tests, perform testing and integrate them into 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 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) to efficiently generate, refactor, and optimize high‑quality code. Collaboration : Work closely with team leads, managers, QA, product managers and the team in the US (will require partial alignment with US working hours). Qualifications 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 (Pandas, NumPy, Scikit‑learn). Proven experience integrating and working with major LLM APIs – both public and private/local – 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. 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). 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 nice to have but not necessary. Preferred Work Style 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. Benefits 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. The company will pay with salary, equity, and benefits. You’ll 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. You’ll 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). #J-18808-Ljbffr Pulsora, Inc.