Applied AI Engineer (AI Automation)

North Eastern Services; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading AI services provider is seeking an AI Automation Engineer in Toronto, Canada. You will design and implement tailored AI and automation solutions, engaging closely with clients to solve their challenges. This remote role requires 3 to 5+ years of experience in software engineering and hands-on expertise with AI-driven solutions. Ideal candidates will have strong knowledge of tools like Python and n8n, along with a demonstrated ability to manage client relationships effectively. Join us to help democratize AI across various businesses.

Qualifications

• 3 to 5+ years of experience in software engineering or applied systems development.
• Demonstrated project experience using tools like GPT APIs and workflow orchestration platforms.
• Hands-on experience building end-to-end AI workflows including customer support bots.

Responsibilities

• Design, develop, and deploy tailored AI solutions for clients.
• Build full end-to-end AI automations including triggers and API interactions.
• Integrate third-party AI tools to solve client problems.

Skills

Python

AI-driven solutions

Automation systems

Project management

Problem-solving

Tools

n8n

OpenAI APIs

vector databases

Job description

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nebrail, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Type: Full-time, Remote

Role Overview

As an AI Automation Engineer, you will play a pivotal role in delivering high-quality, tailored AI and automation solutions that directly address client challenges and generate tangible value. You will lead technical implementation efforts, support ongoing engineering for retainer clients, and help build scalable, productized solutions that can be deployed across multiple clients.

Key Responsibilities

• Design, develop, and deploy tailored AI and automation solutions based on client-specific needs and objectives.
• Translate ambiguous business problems into scalable, end-to-end AI workflows using Python, n8n (or similar tools), OpenAI APIs, and vector databases.
• Build full end-to-end AI automations, including triggers, LLM logic, API calls, data storage, error handling, monitoring, and iteration.
• Design and deploy AI agent systems, including multi-step workflows that call tools, interact with APIs, and operate autonomously.
• Integrate with third-party AI tools and platforms to solve real-world problems such as customer service queues, phone routing systems, voice agents, and agent-driven workflows.
• Act as a technical partner for retainer clients, owning solution delivery, refinement, and ongoing maintenance.
• Own the deployment, iteration, and continuous improvement of AI agent systems across multiple client teams.
• Create technical documentation, client demos, and internal playbooks to support reuse, scalability, and knowledge sharing.
• Stay current on emerging AI tools, libraries, and methodologies to continuously improve solution quality and delivery speed.

Success in This Role Looks Like

• Solutions delivered to clients consistently meet or exceed expectations and show measurable business impact (e.g., time saved, cost reduced, conversion increased).

• Retainer clients view you as a go-to engineering partner—relying on your expertise to expand AI usage and optimize existing workflows.

• You bring creativity and a strategic approach to problem solving and your solutions designs.

Qualifications

• 3 to 5+ years of experience in software engineering or applied systems development.
• Demonstrated project experience building AI-driven and automation-based solutions using tools such as GPT APIs, workflow orchestration platforms, and embeddings.
• Hands-on experience building end-to-end AI agent workflows, including phone trees, customer support bots, voice agents, or API-driven AI agents.
• Experience with Model Context Protocol (MCP) servers, or strong interest and ability to ramp up quickly.
• Familiarity with modern AI-native toolchains, such as n8n, Make, Vapi, Zapier, LangGraph, LlamaIndex Agents, OpenAI Assistants API, or similar platforms.
• Strong experience with Python and related frameworks, including prompt engineering, RAG pipelines, and system integration patterns.
• Proven ability to translate ambiguous business goals into autonomous AI workflows and production-ready implementations.
• Experience supporting client relationships and managing multiple priorities in parallel.
• Self-directed, collaborative, and comfortable balancing deep technical builds with fast, iterative prototyping.
• Prior consulting experience or work in fast-paced startup environments is a plus.