AI Engineer

Digital Era Management & Technology Inc; Canada; On-site; CAD 83,000 - 138,000; Full time

Benefits offered by this job

On-site in GTA

Contract extension possible

Job summary

Digital Era Management & Technology Inc seeks an AI engineer for a short-term contract to build agentic workflows that enhance client business processes. You will help design a multi-agent AI platform on Azure, with LangGraph-based human-in-the-loop gates and data pipelines to external APIs and the client’s data warehouse.

Working on LangGraph, A2A protocols, RAG, OPA, and a LiteLLM proxy, you’ll prototype quickly and collaborate with client stakeholders.

Qualifications

• Experience building multi-agent AI platforms on Azure, with human-in-the-loop workflows.
• Ability to prototype in hours and collaborate with client stakeholders.
• Comfort working across AI tooling stacks and policy-as-code.

Responsibilities

• Build a multi-agent AI platform on Azure with shared orchestration and human approvals.
• Develop agent containers, orchestrators, and gatekeepers using Node.js and Python.
• Create data pipelines linking agent workflows to external APIs and the client data warehouse.
• Collaborate daily with the Lead AI Engineer and client engineering/data teams.

Skills

AI engineering

Agentic workflows

Human-in-the-loop

Stakeholder engagement

Change leadership

Analytical rigor

Tools

Node.js

Python

React

Next.js

Open Policy Agent (OPA)

Rego

LangGraph

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
• 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

AI-Accelerated Development

• Claude Code, OpenCode, Cursor: prototype in hours, not weeks
• 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).