AI Platform EngineerLocation: Halifax, NSWork Model: Full Time Primary SkillsAgentic AI, Python/TypeScript, LangChain/LangGraph & MCP AI Platform Engineer to help build and scale an agentic AI platform that enables development teams to execute AI-driven Software Development Lifecycle (SDLC) workflows at enterprise scale. DevOps and Platform Engineering and focuses on building the harnesses, skills, tools, and AI agents that power development workflows across the organization. The ideal candidate will have strong software engineering experience along with practical expertise in agentic AI, coding assistants, MCP servers, and AI agent frameworks .

Design and build AI agents across the full software delivery lifecycle, including: Technical specification generation Build and test Deployment and release Post-Implementation Verification (PIV) Post-deployment operations Build agents using coding harnesses, custom skills, tools, and Build technical controls that enforce AI-driven development lifecycle gates, such as Spec Ready and PR Ready, as machine-checked controls. Continuously evaluate and expand the capabilities of frontier AI models and coding harnesses such as Develop reusable AI capabilities that can improve engineering productivity across multiple development teams. DevOps, security, and platform teams agentic AI platforms, frameworks,



and architectural patterns Demonstrate newly developed agents and platform capabilities to development teams and explain their underlying technical implementation.

Support teams adopting AI-driven development practices by providing hands-on technical guidance and troubleshooting. Help establish scalable, secure, and reliable patterns for enterprise AI agent adoption. Strong software development background using Python and/or TypeScript/JavaScript .

Hands‑on experience building agent-based AI solutions and developing custom skills, tools, and integrations for AI coding environments. Demonstrated experience using frontier coding assistants such as Experience developing reusable tools and automation for software development workflows. AI agent architecture, tool calling, orchestration, and workflow automation .

Experience integrating AI capabilities into DevOps and software delivery processes. methodologies and AI‑assisted SDLC. Knowledge of enterprise DevOps, CI/CD, cloud platforms, and platform engineering.

Experience implementing governance, security, and automated quality gates for AI‑driven workflows.

Experience evaluating emerging AI technologies and making technical build‑vs‑buy decisions. Robust communication skills with the ability to demonstrate and explain complex AI engineering solutions to technical teams. #

📌 Ai Platform Engineer (Winnipeg)
🏢 AceStack
📍 Winnipeg