Senior AI Engineer

Encore Technical Solutions Inc.; Toronto; Hybrid; CAD 140,000 - 220,000; Full time

Job summary

Encore Technical Solutions Inc. in Downtown Toronto is seeking a Senior AI Engineer to design and build the core agent infrastructure for a global enterprise's internal AI platform, including orchestration engines, desktop agent harness, and policy layers for enterprise-scale safety.

The role focuses on building multi-agent orchestration, integrating frontier LLM SDKs (Anthropic, OpenAI, Google), and delivering a robust routing, retrieval, and evaluation pipeline in a hybrid, downtown Toronto

Qualifications

• 7+ years building production software with recent LLM-based systems.
• Strong TypeScript (Node.js, async, strict typing) and working proficiency in Python (FastAPI, Pydantic).
• Production depth in LangGraph, Microsoft Agent Framework, or Deep Agents.
• Direct experience with at least one frontier provider SDK at the agent-loop level.
• Hands-on with tool calling, MCP (or comparable), streaming (SSE/WebSocket), structured output.

Responsibilities

• Build and extend multi-agent orchestration (LangGraph, Microsoft Agent Framework, Deep Agents) — stateful graphs, checkpointing, sub-agents, human-in-the-loop, long-running execution.
• Work directly with frontier LLM SDKs at the agent-loop level (Anthropic, OpenAI, Google) — not just chat completions.
• Own the model-agnostic routing layer: provider routing, cost/token accounting, graceful degradation as models churn.
• Build MCP integration, sandboxing/process isolation, and a permission system (ALLOW/ASK/DENY) enforced across runtimes.
• Build retrieval, grounding, and citation pipelines that hold up in production.
• Build eval infrastructure — regression gates, tracing, and diagnosability for agent failures.

Skills

TypeScript

Python

LangGraph

Microsoft Agent

Deep Agents

Frontier SDKs

Tool calling

SSE/WebSocket

Pydantic

FastAPI

Tools

LangGraph

Microsoft Agent Framework

Deep Agents

Job description

Full-Time, Permanent | Downtown Toronto | Hybrid

Our client, a global enterprise, is building an internal AI platform — a multi-tenant, model-agnostic environment spanning a web app, a desktop agent client, an AI App Store, and a skills/tool ecosystem over the company's knowledge.

They're looking for a Senior AI Engineer to help design and build the agent infrastructure at the core of it: orchestration engines, the desktop agent harness, tool/skill registries, and the policy layers that make it all safe to run at enterprise scale.

What you'll do

• Build and extend multi-agent orchestration (LangGraph, Microsoft Agent Framework, Deep Agents) — stateful graphs, checkpointing, sub-agents, human-in-the-loop, long-running execution.


• Work directly with frontier LLM SDKs at the agent-loop level (Anthropic, OpenAI, Google) — not just chat completions.


• Own the model-agnostic routing layer: provider routing, cost/token accounting, graceful degradation as models churn.


• Build MCP integration, sandboxing/process isolation, and a permission system (ALLOW/ASK/DENY) enforced across runtimes.


• Build retrieval, grounding, and citation pipelines that hold up in production.


• Build eval infrastructure — regression gates, tracing, and diagnosability for agent failures.

What we need

• 7+ years building production software, with recent, substantial work on LLM-based systems used by real users.


• Strong TypeScript (Node.js, async, strict typing) and working proficiency in Python (FastAPI, Pydantic).


• Production depth in LangGraph, Microsoft Agent Framework, or Deep Agents.


• Direct experience with at least one frontier provider SDK at the agent-loop level.


• Hands-on with tool calling, MCP (or comparable), streaming (SSE/WebSocket), structured output.

Nice to have

• Google ADK, Semantic Kernel, CrewAI, LlamaIndex, AutoGen, Pydantic AI, Mastra.


• Sandboxing/isolation experience (gVisor, nsjail, Firecracker, Seatbelt, Bubblewrap).


• Electron/desktop app engineering, vector search, regulated-industry experience (insurance, banking, financial services).