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Digital Era Management & Technology Inc

AI Engineer

Toronto, ON, Canada
Greater Toronto and Hamilton Area, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 9, 2026
Working hours: 40 hours per week
Posting language: English
Posted: Oct 10, 2026

Original job description

We are looking for an AI engineer for a short term contract (3 months, may be extended). The job will be to build agentic workflows that enhance current business processes.

AI and Agentic Engineering:

LangGraph: state graphs, checkpointing, interrupt/resume for human-in-the-loop
A2A protocol: agent-to-agent communication, agent cards, capability discovery
MCP (Model Context Protocol): agent-to-tool integration
RAG: retrieval-augmented generation, vector embeddings, knowledge bases
Open Policy Agent (OPA): Rego-based policy-as-code, deny-by-default gatekeeping
LiteLLM proxy: model-agnostic routing across OpenAI, Anthropic, Google, open-source
Prompt versioning and decision audit logs: immutable, append-only, correlation IDs

Full-Stack Development:

Node.js and Python for agent containers, orchestrators, gatekeepers
React / Next.js for human-in-the-loop portals and approval dashboards
Postgres (SQL) for platform schemas, agent schemas, LangGraph state persistence

AI-Accelerated Development:

Claude Code, OpenCode, Cursor: prototype in hours, not weeks

Behavioral Competencies

Business fluency, facilitation and discovery craft, trusted partner presence, analytical rigor, change leadership, narrative and knowledge capture.
Works directly with client stakeholders

The Work

Building a multi-agent AI platform on Azure. The work covers the full stack:

Shared orchestration foundation: human-in-the-loop portal, monitoring
Multiple production agents built with LangGraph, each with human approval gates
Data pipelines connecting agent workflows to external APIs and the client's data warehouse

Works alongside the Lead AI Engineer, a second AI Engineer building agents in parallel, and the client's engineering, data, and business teams. Daily standups with client engineers. Regular facilitation sessions with business stakeholders.

Logistics

Duration: 3 months starting Oct 19, extendable
Hours: 40 hours per week
Location: Canadian resource, Eastern time zone. Regular client-facing meetings required (once per week, on site in the GTA).

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More about this job

Responsibilities

Build a multi-agent AI platform on Azure, including shared orchestration, monitoring, human-in-the-loop portals, and production agents with approval gates. Develop data pipelines connecting agent workflows to external APIs and the client's data warehouse, while collaborating with engineering, data, and business stakeholders.

Requirements

The role calls for full-stack AI engineering experience with LangGraph, agent-to-agent and agent-to-tool integrations, RAG, policy-as-code, model routing, and audit logging. It also requires Node.js and Python, React or Next.js, PostgreSQL, stakeholder facilitation, and regular client-facing collaboration.

Skills

LangGraph
Agentic Workflows
Agent-To-Agent Communication
Model Context Protocol
Retrieval-Augmented Generation
Vector Embeddings
Open Policy Agent
LiteLLM
Node.js
Python
React
Next.js
PostgreSQL
Azure
Human-in-the-Loop Systems
Data Pipelines

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Agentic Engineering
LangGraph
State Graphs
Checkpointing
Human-in-the-Loop
Agent-To-Agent Protocol
Agent Cards
Capability Discovery
Model Context Protocol
Retrieval-Augmented Generation
Vector Embeddings
Knowledge Bases
Open Policy Agent
Rego
Policy-As-Code
LiteLLM Proxy
Model Routing
Prompt Versioning
Decision Audit Logs
Node.js
Python
React
Next.js
PostgreSQL
Azure
Data Pipelines
External APIs
Data Warehouse
Claude Code

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