Job opportunity
AI Platform Engineer
Acestack
AI Platform Engineer
Location:
Halifax, NS
Work Model:
Onsite / 4 Days
Job Type:
Full Time
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 strong 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.
Implement and extend
spec-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 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.
Required Skills & Experience
Strong 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.
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Apply on source site Location:
Halifax, NS
Work Model:
Onsite / 4 Days
Job Type:
Full Time
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 strong 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.
Implement and extend
spec-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 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.
Required Skills & Experience
Strong 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.
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