AI Platform Engineer (Winnipeg)

AI Platform Engineer (Winnipeg)

09 Oct
|
Realign
|
Winnipeg

09 Oct

Realign

Winnipeg

Primary Skills

Agentic AI, Python/TypeScript, LangChain/LangGraph & MCP Job Description

We are seeking a hands-on

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. This role sits within

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 solid software engineering experience along with practical expertise in

agentic AI, coding assistants, MCP servers, and AI agent frameworks . Key Responsibilities

Design and build AI agents across the full software delivery lifecycle, including:

Specification creation 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

MCP (Model Context Protocol) servers . Develop agents on managed platforms such as

Devin

and using frameworks such as

LangChain and LangGraph . Select the appropriate platform, framework, or technology based on individual use cases and enterprise requirements. 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

Claude Code . Develop reusable AI capabilities that can improve engineering productivity across multiple development teams. Partner with

DevOps, security, and platform teams

to safely deploy new agents, skills, and tools into production. Maintain and contribute to shared enterprise skill and tool catalogs. Evaluate emerging

agentic AI platforms, frameworks, and architectural patterns

and 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. Implement and extend

spec-driven development workflows , such as Specify - Clarify - Plan - Tasks - Analyze - Implement, using approaches similar to GitHub Spec Kit. Required Skills & Experience

Robust software development background using

Python and/or TypeScript/JavaScript . Ability to build, deploy, and operate

production-grade services , not just prototypes. Hands-on experience building

agent-based AI solutions

using LangChain, LangGraph, or comparable agent frameworks. Practical experience with

MCP servers

and developing custom skills, tools, and integrations for AI coding environments. Demonstrated experience using frontier coding assistants such as

Claude Code

for real-world engineering work. Experience developing reusable tools and automation for software development workflows. Strong understanding of

AI 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 Skills

Experience with

spec-driven development

methodologies and AI-assisted SDLC. Experience with managed agent platforms such as

Devin . 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. Job Type: Full Time

Job Category: IT

Job Description

AI Platform Engineer

Location:

Halifax, NS Work Model:

Onsite / 4 Days Job Type:

Full Time

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📌 AI Platform Engineer (Winnipeg)
🏢 Realign
📍 Winnipeg

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