Ai & Automation Engineer

We are looking for an AI & Automation Engineer to build, deploy and optimize enterprise AI systems, multi-agent solutions and automations.
About Inscend AIInscend AI is a Toronto-based AI engineering and advisory firm serving financial and professional services, government and non-profit organizations.
We help clients solve business problems with practical AI solutions that deliver measurable results. Our capabilities span AI strategy, solution architecture, multi-agent systems, intelligent automation, performance evaluation and optimization, AI governance, and ROI measurement.
The roleAs an AI & Automation Engineer, you will be a hands‑on technical lead on client engagements, taking ownership of technical delivery from requirements through deployment and ongoing optimization. You will work closely with Inscend AI and client business and technical teams to turn business requirements into reliable, working AI solutions.
What you'll do
Contribute to solution architecture and design, including technology selection and implementation decisions.
Build AI agents, multi-agent systems and automations that solve specific client problems and deliver a measurable return on investment.
Integrate AI solutions with business systems such as CRM, ERP, document management, Microsoft 365 and Google Workspace, using REST APIs, webhooks and automation platforms such as Microsoft Power Automate, UiPath, Zapier or Make.
Implement retrieval‑augmented generation (RAG) so AI solutions can work from an organization’s own documents and data.
Test, monitor and optimize AI performance across accuracy, latency, reliability and cost.
Implement security, privacy and access controls.
Document solution architecture, integrations and operating procedures, and support client handover so teams can maintain and operate solutions after deployment.
Required qualifications
3+ years of software, data or automation engineering experience, including hands‑on delivery of LLM‑based solutions to production.
Demonstrated ability to independently own technical delivery, make implementation decisions and troubleshoot production issues.
Solid software engineering fundamentals, including back‑end development, APIs, databases and system design.
Hands‑on experience building AI agents and LLM applications, including RAG and tool or function calling.
Experience building workflow automations and integrating systems through REST APIs and webhooks.
Production experience with at least one major cloud platform, such as AWS, Microsoft Azure or Google Cloud.
Experience testing and evaluating AI output, and monitoring AI systems in production.
Experience with Git, CI/CD and containers.
Clear communication with both business and technical stakeholders.
Our tools vary by client engagement;
experience with every platform listed is not required.
LLMs and AI services:
OpenAI / Azure OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock
Microsoft ecosystem:
Power Platform, Copilot Studio, Microsoft 365, SharePoint
Nice to have
Experience with Model Context Protocol (MCP), LLM observability and tracing tools, or fine‑tuning and deploying open‑source models.
Experience integrating with and automating workflows in CRM and ERP platforms, such as Salesforce, HubSpot or Microsoft Dynamics 365, through their APIs and automation tools.
Front‑end development experience, including TypeScript and React, for internal tools and dashboards.
Engagement
Type:
Contract or part‑time
Location:
Remote, Canada
Applicants must be legally entitled to work in Canada.
Final candidates may be asked to complete reference and background checks where required by client engagements.
AccessibilityInscend AI complies with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. Accommodations for applicants with disabilities are available on request at any stage of the recruitment process.
#J-18808-Ljbffr