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Within 25 km of Vaughan

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Gen AI Consulting Limited

AI Platform Engineer

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 18, 2026
Posted: Oct 19, 2026

Original job description

AI Platform Engineer - Long-term Contract | Hybrid, Toronto/GTA | Insurance Client

We are hiring an AI Platform Engineer for a long-term contract with a leading insurance client. Hybrid model - 2 days per week onsite in the GTA. Competitive hourly rate.

What you'll work on:

Agentic AI & Agent Frameworks: Developing and coordinating specialized domain agents using frameworks like LangChain, LangGraph, Google ADK, or similar - multi-agent orchestration, agent gateway architectures, and MCP server connectivity.

LLM Engineering: Building production systems on large language models - prompt engineering, fine-tuning, evaluation, and LLMOps.

Generative AI & Data Retrieval: Building Generative AI and Retrieval-Augmented Generation (RAG) integrations - vector databases, embeddings, and connecting agents with internal datastores and unstructured knowledge bases.

Internal Platform & API Engineering: Moving from traditional application builds to scalable internal AI platforms - API development (e.g., FastAPI), workflow orchestration, and robust tool-invocation frameworks.

Governance & Observability: Implementing governance frameworks via specialized compliance agents (e.g., validating rule-based eligibility), guardrails, monitoring, audit trails, and evaluation from day one.

The details:

Location: Toronto, ON - Hybrid (2 days/week onsite)

Contract: Long-term

Client: Leading insurance company

Rate: Competitive hourly rate, based on experience

Cloud: Cloud-agnostic - GCP, AWS, or Azure experience welcome

Interested? Apply here or reach out directly - we'd love to hear from you. 📩 info@genaiconsulting.ca

#AIJobs #AIPlatformEngineer #AgenticAI #RAG #LLM #MCP #LangChain #Hiring #TorontoJobs #HybridJobs

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More about this job

Responsibilities

Develop and coordinate specialized AI agents, multi-agent orchestration, and MCP connectivity, while building production LLM and RAG systems integrated with internal data sources. Develop scalable internal AI platforms and APIs, and implement governance, guardrails, monitoring, audit trails, and evaluation.

Requirements

The role calls for experience with agent frameworks such as LangChain, LangGraph, or Google ADK, as well as production LLM engineering, RAG, vector databases, and embeddings. It also involves API development, workflow orchestration, governance, and observability; experience with GCP, AWS, or Azure is welcome.

Skills

Agentic AI
LangChain
LangGraph
Google ADK
Multi-Agent Orchestration
MCP
LLM Engineering
Prompt Engineering
Fine-Tuning
LLMOps
Generative AI
Retrieval-Augmented Generation
Vector Databases
Embeddings
FastAPI
Workflow Orchestration

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
LangChain
LangGraph
Google ADK
Multi-Agent Orchestration
Agent Gateway Architecture
MCP Server Connectivity
Large Language Models
Prompt Engineering
Fine-Tuning
LLM Evaluation
LLMOps
Generative AI
Retrieval-Augmented Generation
Vector Databases
Embeddings
Internal Datastores
Unstructured Knowledge Bases
API Development
FastAPI
Workflow Orchestration
Tool Invocation Frameworks
AI Governance
Compliance Agents
Guardrails
Monitoring
Audit Trails
GCP
AWS
Azure

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