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).

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📌 AI Engineer (Manitoba)
🏢 Digital Era Management & Technology
📍 Manitoba