AI Platform EngineerLocation:Halifax, NSWork Model:Onsite / 4 DaysJob Type:Full TimePrimary SkillsAgentic AI, Python/TypeScript, LangChain/LangGraph & MCPJob DescriptionWe are seeking a hands-onAI Platform Engineerto help build and scale an agentic AI platform that enables development teams to execute AI-driven Software Development Lifecycle (SDLC) workflows at enterprise scale.This role sits withinDevOps and Platform Engineeringand 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 inagentic AI, coding assistants, MCP servers, and AI agent frameworks .Key ResponsibilitiesDesign and build AI agents across the full software delivery lifecycle, including:Specification creationTechnical specification generationBuild and testDeployment and releasePost-Implementation Verification (PIV)Post-deployment operationsBuild agents using coding harnesses, custom skills, tools, andMCP (Model Context Protocol) servers .Develop agents on managed platforms such asDevinand using frameworks such asLangChain and LangGraph .Select the appropriate platform, framework, or technology based on individual use cases and enterprise requirements.Implement and extendspec-driven development workflows, such as Specify Clarify Plan Tasks Analyze Implement, using approaches similar to GitHub Spec Kit.Build technical controls that enforce AI-driven development lifecycle gates, such asSpec Ready and PR Ready, as machine-checked controls.Continuously evaluate and expand the capabilities of frontier AI models and coding harnesses such asClaude Code .Develop reusable AI capabilities that can improve engineering productivity across multiple development teams.Partner withDevOps, security, and platform teamsto safely deploy new agents, skills,



and tools into production.Maintain and contribute to shared enterprise skill and tool catalogs.Evaluate emergingagentic AI platforms, frameworks, and architectural patternsand provide build-vs-adopt recommendations.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.Required Skills & ExperienceStrong software development background usingPython and/or TypeScript/JavaScript .Ability to build, deploy, and operateproduction-grade services, not just prototypes.Hands‑on experience buildingagent-based AI solutionsusing LangChain, LangGraph, or comparable agent frameworks.Practical experience withMCP serversand developing custom skills, tools, and integrations for AI coding environments.Demonstrated experience using frontier coding assistants such asClaude Codefor real‑world engineering work.Experience developing reusable tools and automation for software development workflows.Robust understanding ofAI agent architecture, tool calling, orchestration, and workflow automation .Experience integrating AI capabilities into DevOps and software delivery processes.Strong problem‑solving and engineering skills with the ability to work across platform, security, and development teams.Preferred SkillsExperience withspec-driven developmentmethodologies and AI‑assisted SDLC.Experience with managed agent platforms such asDevin .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.Strong communication skills with the ability to demonstrate and explain complex AI engineering solutions to technical teams.#J-18808-Ljbffr

📌 Agentic Ai Platform Engineer - C$120,000 - C$170,000 A Year (Winnipeg)
🏢 AceStack
📍 Winnipeg