AI Engineer – Pulsora Inc (Canada, Remote) | LLM, RAG & Agentic AI Role

📍 Location: ca

🏷 Type: Not specified

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Job Overview

Pulsora Inc is hiring a highly skilled Senior-Level AI Engineer to build next-generation LLM-powered systems, agentic workflows, and RAG-based AI applications for enterprise sustainability intelligence. This role is ideal for an engineer with deep experience in production-grade AI systems, modern generative AI frameworks, and scalable backend architectures. You will work on cutting-edge AI infrastructure combining LangChain, LangGraph, vector databases, and advanced LLM APIs to power ESG and sustainability platforms used by global enterprises.

🌍 Work Eligibility & Location

This is a Remote (Canada) position with flexibility, but collaboration requires partial alignment with US teams. The role is not open to candidates requiring visa sponsorship, so candidates must already have legal work authorization in Canada. Strong communication across distributed engineering teams is essential.

💰 Salary Intelligence

While the base salary appears moderate for a senior AI role, the inclusion of equity and fast-growth startup exposure significantly increases long-term compensation potential. For experienced LLM engineers, the real value lies in equity upside and rapid technical ownership.

📊 Role Breakdown

This role focuses on building advanced AI-native systems using modern generative AI stacks. You will design and deploy LLM-integrated applications using APIs from OpenAI, Anthropic, Gemini, and open-source models like Llama and Ollama. A core responsibility is building agentic workflows using LangChain and LangGraph, enabling multi-step reasoning systems and autonomous agents capable of tool usage, memory handling, and parallel execution.

A significant part of the job involves designing RAG pipelines with vector databases such as Pinecone, Weaviate, or FAISS. You will optimize embeddings, implement reranking strategies, and improve retrieval accuracy for enterprise-grade ESG datasets. Around 30–40% of your work will focus on AI system architecture, while 25–30% will involve backend integration and performance optimization.

You will also engage in LLM fine-tuning using LoRA and QLoRA techniques for domain-specific intelligence. Another key responsibility includes AI-assisted development workflows using tools like Cursor, GitHub Copilot, and Replit AI to accelerate full-stack delivery. Expect to contribute to both frontend (React) and backend services, ensuring seamless integration through REST APIs. Strong Python engineering remains central to the role.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly competitive AI engineering role requiring deep expertise in production LLM systems, not just experimentation. Candidates without hands-on experience in RAG pipelines and agent frameworks will find it difficult to match expectations.

🚀 Career Impact

This role positions you at the forefront of enterprise AI transformation. You will gain rare experience in building real-world agentic AI systems, which is one of the fastest-growing domains in AI engineering today. The exposure to ESG enterprise platforms also opens doors to leadership roles in AI architecture.

📋 Key Responsibilities

You will design and deploy LLM-based applications that solve enterprise-scale sustainability challenges. Responsibilities include building agentic workflows using LangChain and LangGraph, optimizing RAG systems, and implementing scalable vector search pipelines. You will integrate multiple LLM APIs, fine-tune models using LoRA/QLoRA, and ensure robust performance across distributed systems.

Additional responsibilities include developing backend services in Python, integrating frontend interfaces using React, and connecting services via REST APIs. You will also leverage AI-assisted coding tools to accelerate development while maintaining strict production-grade quality standards. Collaboration with US-based teams requires strong communication and ownership mindset.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role signals high urgency hiring in a fast-scaling AI startup environment. Competition is expected to be intense due to the combination of remote flexibility and cutting-edge LLM engineering scope. Candidates with strong agentic AI experience will be prioritized.

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✅ Job Source & Verification

This job listing is sourced from Pulsora Inc, a well-funded Silicon Valley SaaS startup specializing in ESG and sustainability platforms. The information reflects the most recent publicly available job description. Details are considered accurate as of the latest posting and may evolve as the hiring process progresses. Candidates should verify final requirements on the official application page before applying.