Job Title

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by SameerMaskeyPh.D., Adjunct Associate Professor at Columbia University, the companys core mission is democratizing AI. With a presence in 4 countries (India, the United States, Canada, and the Dominican Republic) and more than 450 fulltime employees, Fusemachines brings global expertise in AI to transform companies worldwide. Role Overview As an AI Automation Engineer, you will deliver highquality, 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. Type: Fulltime, Remote Key Responsibilities Design, develop, and deploy tailored AI and automation solutions based on clientspecific needs and objectives. Translate ambiguous business problems into scalable, endtoend AI workflows using Python, n8n (or similar tools), OpenAI APIs, and vector databases. Build full endtoend AI automations, including triggers, LLM logic, API calls, data storage, error handling, monitoring, and iteration. Design and deploy AI agent systems, including multistep workflows that call tools, interact with APIs, and operate autonomously. Integrate with thirdparty AI tools and platforms to solve realworld problems such as customer service queues, phone routing systems, voice agents, and agentdriven 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 demonstrate measurable business impact (e.g., time saved, cost reduced, conversion increased). Retainer clients view you as a goto engineering partnerrelying 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 push the envelope. Qualifications 3 to 5+ years of experience in software engineering or applied systems development. Demonstrated project experience building AIdriven and automationbased solutions using tools such as GPT APIs, workflow orchestration platforms, and embeddings. Handson experience building endtoend AI agent workflows, including phone trees, customer support bots, voice agents, or APIdriven AI agents. Experience with Model Context Protocol (MCP) servers, or strong interest and ability to ramp up quickly. Familiarity with modern AInative 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 productionready implementations. Experience supporting client relationships and managing multiple priorities in parallel. Selfdirected, collaborative, and comfortable balancing deep technical builds with fast, iterative prototyping. Prior consulting experience or work in fastpaced startup environments is a plus. Location: Toronto, Ontario, Canada Salary Range: CA$80,000 CA$130,000 #J-18808-Ljbffr