Artificial Intelligence Agent Engineer (Client Facing)

Observe.AI; Ottawa; Remote; CAD 90,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Flexible PTO

Parental leave policies

Retirement plan

Job summary

Observe.AI is seeking an AI Agent Engineer in Ottawa to lead the end-to-end lifecycle of enterprise-grade AI Agents, including design, integration, deployment, and optimization. The role is hands-on, customer-facing, and pivotal for bringing AI solutions to life—from concept to production and tuning performance.

You will own the implementation of AI Agents, tailor prompts, configure workflows, and integrate with telephony and CRMs.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience with integration tools and iPaaS platforms (n8n, Zapier) a plus.
• Strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect).
• Proficient in Python or JavaScript scripting and integrations.
• 3+ years in conversational AI, solution engineering, or system integration delivering AI/LLM-based solutions.
• Excellent communication for customer-facing demos and discussions.

Responsibilities

• Build & Deploy AI Agents: Implement AI Agents including prompt design, integrations, telephony setup, and evaluation frameworks.
• Client Engagement: Lead demos and gather feedback, guiding solutions from concept to production.
• Systems Integration: Configure and connect systems via APIs, handling authentication, data mapping, and error handling.
• Telephony Integration: Set up SIP/CCaaS/PSTN routing and troubleshoot call quality.
• Prompt Design & Optimization: Write/refine prompts, monitor performance, and ensure containment targets.
• Strategic Partner: Translate customer requirements into actionable solutions and unblock challenges.
• Cross Functional Collaboration: Work with product/engineering to identify gaps and drive client implementations.

Skills

API integrations

Python

JavaScript

LLMs familiarity

Prompt design

Workflow building

Telephony knowledge

SIP integration

CCaaS familiarity

PSTN knowledge

Customer-facing

Problem solving

Education

Bachelor's degree in CS/Engineering

Tools

n8n

Zapier

iPaaS platforms

Job description

• 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 upscale 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

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.)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 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