Jobs in Vaughan

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Within 25 km of Vaughan

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Encore Technical Solutions Inc.

Senior AI Engineer (Claude Code, Codex, Cursor)

Toronto, ON, Canada

Full-time

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

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Job details

Job type: Full-time
Apply by: Dec 6, 2026
Posted: Nov 6, 2026

Original job description

🚀 We're hiring: AI Engineer | Downtown Toronto (Hybrid) | Full-Time

A well-established global financial services company is expanding its enterprise AI platform. It's hiring a Senior AI Engineer to join a small, hands-on team. You'll design, ship and run production LLM services used by teams across the business, with modern AI coding tools at the centre of how you work.

AI-assisted development is the default here. You'll use Claude Code, GitHub Copilot, Cursor and the latest models from Anthropic, OpenAI and Google every day, from the first prototype to debugging in production. You'll also help decide how the team gets the most out of these tools while keeping code quality high.

What you'll work on

Python and Go services that call LLMs through Azure OpenAI, AWS Bedrock or similar, including multi-step agent workflows
Full ownership of each service, from data model and logic to APIs and deployment on Kubernetes
Evaluation pipelines and test sets that catch problems in model output before users see them
Tracing and dashboards that show the cost, latency and output quality of every LLM call
Secure multi-tenant design covering permissions, authentication and usage limits
Clear technical write-ups of your architecture choices

What you'll need

6+ years of professional software engineering, with recent production LLM work
Hands-on, daily use of AI coding assistants such as Claude Code, Copilot or Cursor
Strong Python or Go, and experience building agents with an Anthropic, OpenAI or Google SDK
Solid skills in prompting, tool and function calling, structured outputs and context management
Test-first habits and good judgment about design patterns
Docker, Kubernetes, CI/CD and cloud observability (Azure is a plus)

Bonus: agent frameworks (LangChain, LlamaIndex, Pydantic AI, Semantic Kernel), MCP, Langfuse or similar LLM tracing, RAG and vector search, React or Angular, and a financial services background.

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More about this job

Responsibilities

Design, build, deploy, and operate production LLM services and multi-step agent workflows, owning their data models, logic, APIs, and Kubernetes deployments. Develop evaluation and testing pipelines, monitor cost, latency, and output quality, implement secure multi-tenant access controls, and document architectural decisions.

Requirements

Requires at least six years of professional software engineering experience, recent production LLM experience, and daily hands-on use of AI coding assistants. Candidates should be strong in Python or Go and experienced with LLM SDKs, agent development, prompting, testing, containers, Kubernetes, CI/CD, and cloud observability.

Skills

Python
Go
Large Language Models
AI Coding Assistants
Claude Code
GitHub Copilot
Cursor
Agent Workflows
Prompt Engineering
Tool And Function Calling
Structured Outputs
Context Management
Kubernetes
Docker
CI/CD
LLM Evaluation And Tracing

Visa sponsorship

Not detected in the job text

Keywords

Python
Go
LLMs
Claude Code
GitHub Copilot
Cursor
Anthropic
OpenAI
Google
Azure OpenAI
AWS Bedrock
Agent Workflows
Kubernetes
Docker
CI/CD
LLM Evaluation
Test Sets
Observability
Multi-Tenant Security
Authentication
Prompting
Tool Calling
Function Calling
Structured Outputs
Context Management
LangChain
LlamaIndex
Pydantic AI
Semantic Kernel
MCP

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