Role summary : senior hands‑on engineer with intensive, up‑to‑date experience designing and building agentic AI systems and enterprise level AI agents/MCPs.

- Agent frameworks: intensive hands‑on experience with LangGraph / LangChain (tool-calling, interrupt/resume).
- LLM integration & prompt engineering at scale (OpenAI-style gateways).
- Backend Python: FastAPI + async, SSE/WebSocket streaming.
- State & cache: Redis -based session/checkpoint experience.
- Resilience & ops: circuit breakers/retries (pybreaker/tenacity), OpenTelemetry + Prometheus .
- Infra & CI/CD: Docker, Helm, OpenShift/Kubernetes, GitHub Actions/Helios.
- Valuable Communication and Presentation Skills

Role summary : senior hands‑on engineer with intensive, up‑to‑date experience designing and building agentic AI systems and enterprise level AI agents/MCPs.

Some key skill required:





- Agent frameworks: intensive hands‑on experience with LangGraph / LangChain (tool-calling, interrupt/resume).
- LLM integration & prompt engineering at scale (OpenAI-style gateways).
- Backend Python: FastAPI + async, SSE/WebSocket streaming.
- State & cache: Redis -based session/checkpoint experience.
- Resilience & ops: circuit breakers/retries (pybreaker/tenacity), OpenTelemetry + Prometheus .
- Infra & CI/CD: Docker, Helm, OpenShift/Kubernetes, GitHub Actions/Helios.
- A Python Guru
- Good Communication and Presentation Skills

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

#J-18808-Ljbffr

📌 AI Engineer (Toronto)
🏢 S.i. Systems
📍 Toronto