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. Positive 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