We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands‑on, customer‑facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization You’ll own the end‑to‑end lifecycle of AI Agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance Build & Deploy Agents: Own the implementation of AI Agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks Client Engagement: Act as the primary technical partner for customers—lead regular demos, communicate progress, gather feedback, and guide solutions from concept to production Configure and connect systems using APIs—handling authentication, data mapping, error handling, and integrations with CRMs, knowledge bases, and other enterprise tools Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality Write and refine prompts for LLM‑driven agents, monitor performance, test iteratively, and ensure agents meet automation and containment targets Translate customer requirements into actionable solutions; Cross Functional Collaboration: Collaborate with product/engineering teams to upscale platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations Excellent medical, dental, and vision insurance options ~ Flexible PTO ~ Generous holiday (federal and wellness)



recognition and parental leave policies ~Remote benefits including a daily meal stipend, WFH stipend, mobile & internet stipend to set you up for success in this remote environment ~ Learning & Development fund to support you in your continuing education journey and professional development ~ Experience with integration tools and Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficiency in API integrations and data flow management is a plusBachelor’s degree in Computer Science, Engineering, or a related technical fieldProgramming experience in Python, JavaScript, or similar for scripting and integrationsStrong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystemsFamiliarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.)Must have strong hands‑on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc.)Solid ability to communicate and lead customer‑facing discussions - from deep technical troubleshooting to weekly project demos. Ability to explain complex technical concepts to non‑technical audiencesFamiliarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plusWorking knowledge of retrieval‑augmented generation (RAG) concepts, implementation patterns and performance optimization3+ years in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments, software engineering, or system integration with hands‑on delivery of AI/LLM-based solutions #

📌 Artificial Intelligence Agent Engineer (Client Facing) (Vancouver)
🏢 Observe.AI
📍 Vancouver