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Added 54 mins ago
MC
Platform Engineer - Azure (35991)
Myticas Consulting
Canada
- Contract
Hands-on experience implementing Azure infrastructure and cloud platform services.
Added 54 mins ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 54 mins ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
Added 54 mins ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
…troubleshooting Kubernetes clusters across both on-premises and public cloud environments, along with a strong understanding of cloud and bare-metal…
Added 54 mins ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 54 mins ago
MC
Azure Databricks Cloud Migration & Platform Engineer (36101)
Myticas Consulting
Toronto, ON
- Contract
Azure Databricks Cloud Migration & Platform Engineer
Added 2 hours ago
X
Tech Lead - Fullstack
Xsolla
Canada
- Full-time
We are looking for a Senior Software Engineer (Full-Stack) who is architecturally strong, quality-driven, and highly collaborative to join our Engineering team. The best candidate will be…
Added 14 hours ago
AS
Cloud DevOps Engineer
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 22 hours ago
A
Senior Python Developer
Ampliwork
Brossard, QC
- Full-time
We are looking for a Senior Python Developer with strong core software engineering fundamentals and hands-on experience building production-grade, cloud-native systems.
Added 22 hours ago
A
Senior Python Developer
Ampliwork
Montreal, QC
- Full-time
We are looking for a Senior Python Developer with strong core software engineering fundamentals and hands-on experience building production-grade, cloud-native systems.
Added 1 day ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Ottawa, ON
- Full-time
Cloud Infrastructure Design and Deployment: Architect and implement robust cloud solutions using leading platforms such as Microsoft Azure, Amazon Web Services, and Google Cloud.
Added 1 day ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Toronto, ON
- Full-time
Cloud Infrastructure Design and Deployment: Architect and implement robust cloud solutions using leading platforms such as Microsoft Azure, Amazon Web Services, and Google Cloud.
Added 1 day ago
E
Principal Software Engineer
EngRadar
Kitamaat 2, BC
- Full-time
As a Principal Software Engineer on Conga’s B2B Platform Engineering, Core Services team, you’ll own the security, identity, and access management capabilities that every Conga B2B product…
Added 1 day ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior DevOps/Cloud Engineer to support the Ontario Clinical Report Exchange (OCRE) project. The successful candidate will have extensive hands-on experience with AWS cloud…
Added 1 day ago
SM
RQ00816 – Security Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Full-time
…vulnerability management, DevSecOps, application security, and cloud security posture management across AWS and Azure environments. The successful candidate will support Ontario Health’s…
Added 1 day ago
BR
Senior Cloud Engineer (AWS)
BITS Recruiting
Toronto, ON
- Contract
Our client is seeking a Senior DevOps / Cloud Engineer to support the Ontario Clinical Report Exchange (OCRE) project. The successful candidate will design, provision, automate, operate,…
Added 1 day ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior DevOps/Cloud Engineer to support the Ontario Clinical Report Exchange (OCRE) project. The successful candidate will have extensive hands-on experience with AWS cloud…
Added 1 day ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior DevOps/Cloud Engineer to support the Ontario Clinical Report Exchange (OCRE) project. The successful candidate will have extensive hands-on experience with AWS cloud…
Added 1 day ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior DevOps/Cloud Engineer to support the Ontario Clinical Report Exchange (OCRE) project. The successful candidate will have extensive hands-on experience with AWS cloud…
Added 1 day ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Toronto, ON
- Full-time
Cloud Infrastructure Design and Deployment: Architect and implement robust cloud solutions using leading platforms such as Microsoft Azure, Amazon Web Services, and Google Cloud.
Added 1 day ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Ottawa, ON
- Full-time
Cloud Infrastructure Design and Deployment: Architect and implement robust cloud solutions using leading platforms such as Microsoft Azure, Amazon Web Services, and Google Cloud.
Added 1 day ago
SM
RQ00816 – Security Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Full-time
…vulnerability management, DevSecOps, application security, and cloud security posture management across AWS and Azure environments. The successful candidate will support Ontario Health’s…
Added 1 day ago
SM
RQ00816 – Security Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Full-time
…vulnerability management, DevSecOps, application security, and cloud security posture management across AWS and Azure environments. The successful candidate will support Ontario Health’s…
Added 1 day ago
SM
RQ00816 – Security Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Full-time
…vulnerability management, DevSecOps, application security, and cloud security posture management across AWS and Azure environments. The successful candidate will support Ontario Health’s…
Added 1 day ago
P
DevOps Engineer
Pillway
Brampton, ON
- Full-time
We are hunting for an exceptional DevOps Engineer - a security champion ready to embed protection across every line of code and every piece of infrastructure. This is your chance to own the…

Closed listing

AceStack

AI Platform Engineer / Halifax, NS (Onsite – 4 Days) - FTE

Halifax, NS, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Role: AI Platform Engineer

Location: Halifax, NS

Work Model: Onsite – 4 Days/Week

Role Overview

We are seeking a hands-on AI Platform Engineer to help build and scale an enterprise agentic AI platform that enables development teams to adopt AI-driven Software Development Life Cycle (SDLC) practices.

This role sits within DevOps/Platform Engineering and focuses on building the reusable platform, agents, tools, skills, and automation that development teams can leverage across the software delivery lifecycle. The ideal candidate is a strong software engineer who has hands-on experience with agentic AI, coding assistants, MCP servers, and modern agent frameworks and can turn individual AI-assisted development workflows into production-grade enterprise capabilities.

Key Responsibilities

•

Design and develop AI agents across the complete SDLC, including:

◦

Requirements/specification creation

◦

Technical specification generation

◦

Planning and task generation

◦

Code implementation

◦

Build and testing

◦

Deployment and release

◦

Post-implementation verification (PIV)

◦

Post-deployment and operational activities

•

Build reusable AI agents, skills, and tools using coding harnesses such as Claude Code, custom skills, MCP servers, and managed agent platforms such as Devin.

•

Develop native agentic solutions using frameworks such as LangChain and LangGraph or comparable technologies.

•

Implement and extend spec-driven development (SDD) workflows, such as: Specify → Clarify → Plan → Tasks → Analyze → Implement, following approaches similar to GitHub Spec Kit.

•

Build platform capabilities that enforce AI-driven development lifecycle gates such as Spec Ready and PR Ready through automated, machine-validated controls.

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Develop production-grade platform services, integrations, APIs, tools, and automation using Python and/or TypeScript/JavaScript.

•

Continuously evaluate how frontier AI models and coding agents can automate software engineering activities and convert successful experiments into reusable enterprise capabilities.

•

Partner closely with DevOps, Cloud, Security, Platform Engineering, and Development teams to safely deploy agents, tools, and skills into production.

•

Build and maintain a centralized skill/tool catalog that can be consumed by development teams across the organization.

•

Evaluate emerging agentic AI platforms, frameworks, coding harnesses, and architectural patterns and provide build-vs-buy/adopt recommendations.

•

Establish appropriate security, governance, observability, reliability, and operational controls for enterprise AI agents.

•

Demonstrate new capabilities to development teams and clearly explain how the underlying agents, tools, workflows, and integrations operate.

•

Act as a hands-on technical advisor and champion for teams adopting AI-driven SDLC / AI-DLC, helping teams troubleshoot issues and maximize platform adoption.

Must-Have Qualifications

•

Strong software engineering background with hands-on experience developing production-grade applications and services using Python and/or TypeScript/JavaScript.

•

Demonstrated hands-on experience building agentic AI solutions using LangChain, LangGraph, or comparable agent frameworks.

•

Practical experience with Model Context Protocol (MCP), including developing or integrating MCP servers, tools, and custom capabilities.

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Hands-on experience creating custom skills, tools, workflows, or extensions for coding assistants/harnesses, particularly Claude Code or comparable AI coding platforms.

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Strong practical experience using frontier AI coding assistants for real software engineering activities, including multi-step or multi-agent development workflows.

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Experience designing and implementing AI-powered SDLC, developer productivity, software automation, or developer-platform solutions.

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Strong understanding of LLM/agent architecture, tool calling, context management, orchestration, agent workflows, and automation.

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Experience integrating AI agents with APIs, CI/CD pipelines, source-control systems, developer tools, and enterprise platforms.

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Strong understanding of DevOps, software development lifecycle, CI/CD, cloud platforms, and production operations.

Preferred Qualifications

•

Experience with GitHub Spec Kit / spec-driven development or similar specification-first development methodologies.

•

Experience with Devin, Claude Code, LangChain, LangGraph, MCP, or other modern agentic development platforms.

•

Experience building multi-agent systems and agent orchestration workflows.

•

Experience with AWS, Azure, or GCP and enterprise cloud-native architectures.

•

Experience with Docker, Kubernetes, GitHub Actions, Jenkins, or similar DevOps technologies.

•

Knowledge of AI security, responsible AI, access controls, governance, observability, and enterprise AI deployment patterns.

•

Experience working in large-scale enterprise or regulated environments, preferably financial services.

Key Technical Skills

Must Have:

Python and/or TypeScript/JavaScript

Agentic AI – LangChain/LangGraph or equivalent

MCP Servers & Custom Tools/Skills

Claude Code / AI Coding Harnesses

AI-driven SDLC / Developer Platform Engineering

Nice to Have: Spec Kit / SDD, Devin, Multi-Agent Systems, CI/CD, Cloud, Docker/Kubernetes, Enterprise AI Governance.

About employer

More about this job

Responsibilities

Build and scale an enterprise AI platform, including reusable agents, tools, skills, integrations, and automated controls that support AI-driven software development across the SDLC. Partner with engineering and operations teams to deploy secure, reliable agentic capabilities, maintain a shared tool catalog, and guide teams in adopting the platform.

Requirements

Requires strong production software engineering experience with Python and/or TypeScript/JavaScript, hands-on agentic AI development, MCP integrations, and custom coding-assistant tools or workflows. Candidates should understand LLM orchestration, AI-enabled SDLC and developer platforms, CI/CD, cloud, and production operations; experience with spec-driven development, multi-agent systems, and enterprise AI governance is preferred.

Skills

Python
TypeScript
JavaScript
Agentic AI
LangChain
LangGraph
Model Context Protocol
MCP Servers
Claude Code
AI Coding Assistants
AI-Driven SDLC
Developer Platform Engineering
CI/CD
Cloud Platforms
Docker
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
AI Platform Engineering
Python
TypeScript
JavaScript
LangChain
LangGraph
Model Context Protocol
MCP Servers
Claude Code
Devin
AI Coding Assistants
AI-Driven SDLC
Spec-Driven Development
GitHub Spec Kit
Multi-Agent Systems
Agent Orchestration
LLM Architecture
Tool Calling
Context Management
CI/CD
DevOps
Developer Productivity
APIs
Source Control
AWS
Azure
GCP
Docker
Kubernetes

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