Apply on Kit Job: kitjob.ca/job/2fzabd

GenAI Platform & Agentic AI Technical Lead (2 Positions)

Charles Street West, Toronto (Hybrid)

FTE or 6 months CTH

Role Overview

We are seeking an experienced GenAI Platform & Agentic AI Technical Lead (10+ years) to design, build, and scale a modern, enterprise‑grade AI platform with a strong emphasis on portability, openness, and rapid execution.

Primary Responsibilities

Architect and implement a GenAI platform using Databricks and/or Apache‑based open‑source solutions

Design and deploy agentic AI systems using frameworks such as Lang Graph, Deep Agents, Agent Skills, and MCP

Enable agent memory, orchestration, and tool execution (e.g., Lang Mem exposed via MCP)

Establish end‑to‑end MLOps and Agent Ops practices including CI/CD, evaluations (Phoenix/Arize‑style), and observability

Implement AI observability and debugging using tools such as Lang Smith and Langfuse

Build repeatable cloud‑native infrastructure using Kubernetes (GKE and AKS)



and Infrastructure as Code

Design secure and extensible API management using platforms such as Kong, with extensibility toward MCP

Contribute to strengthening an immature data platform into a deliberate, ML‑ready foundation on Databricks

Required Skills & Experience

Proven experience building GenAI, ML, or AI platforms in enterprise environments

Strong hands‑on expertise with Databricks and Apache/open‑source ML ecosystems

Deep understanding of Kubernetes‑based platforms (GKE, AKS) and cloud migrations

Hands‑on experience with agentic AI concepts such as planning, tool use, memory, and evaluations

Robust engineering discipline around Infrastructure as Code, CI/CD, and repeatable environments

Ability to operate effectively in ambiguous or evolving environments and drive clarity

Apply on Kit Job: kitjob.ca/job/2fzabd

📌 GenAI & Agentic AI Technical Lead (Toronto)
🏢 Appcast
📍 Toronto