O
Observe.AI
Artificial Intelligence Agent Engineer
Skills
PythonAIZapiern8nJavascript
1 month ago
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Important information
Salary:
CA$120,000 – CA$160,000 / year
Location:
Canada
Work mode:
Remote
Published on:
19 September 2026
What they need
Who you are
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- 3+ 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
- Strong 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 audiences
- Must have strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc.)
- Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.)
- Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns and performance optimization
- Programming experience in Python, JavaScript, or similar for scripting and integrations
- Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems
- 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 plus
- Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus
What the job involves
- 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
- Systems Integration: 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
- Prompt Design & Optimization: Write and refine prompts for LLM-driven agents, monitor performance, test iteratively, and ensure agents meet automation and containment targets
- Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion
- Cross Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations
Benefits
- Excellent medical, dental, and vision insurance options
- Flexible PTO
- Generous holiday (federal and wellness) recognition and parental leave policies
- 401K plan to save for your future
- 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
- Fun events to build culture across the organization
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