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Added 1 day ago
KH
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TI
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PR
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TekStaff IT Solutions

Artificial Intelligence Engineer

Toronto, ON, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 13, 2026
Posting language: English
Posted: Oct 14, 2026

Original job description

TekStaff's Client has a current vacancy for a Senior AI Engineer

Greater Toronto Area (GTA) for a 6-month contract.

🔹 Key Responsibilities:

Design and develop LLM-powered applications using Python.
Build AI agents and workflows using LangGraph.
Develop Retrieval-Augmented Generation (RAG) solutions using embeddings and vector search.
Build and integrate Model Context Protocol (MCP) servers.
Implement LLM monitoring, tracing, and evaluation using Langfuse.
Develop and deploy AI services on Google Cloud, including Vertex AI and BigQuery.
Build REST APIs, automated tests, and production-ready AI solutions.
Collaborate with cross-functional teams to deliver secure, reliable, and scalable AI applications.

🔹 Required Skills:

5+ years of software development experience.
2+ years of hands-on experience developing AI/LLM-powered applications.
Strong Python, LangGraph/LangChain, RAG, and prompt engineering skills.
Experience with Langfuse or similar LLM observability tools.
Understanding of MCP, REST APIs, vector databases, and Google Cloud.
Experience with CI/CD, automated testing, and responsible AI practices.

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

Apply About employer

More about this job

Responsibilities

Design and build LLM-powered applications, AI agents, workflows, RAG solutions, and MCP servers, including monitoring and evaluation capabilities. Deploy secure, reliable AI services on Google Cloud, build REST APIs and automated tests, and collaborate with cross-functional teams.

Requirements

Requires at least five years of software development experience and at least two years developing AI- or LLM-powered applications. Candidates should have strong Python, LangGraph or LangChain, RAG, and prompt engineering skills, plus experience with LLM observability, MCP, REST APIs, vector databases, Google Cloud, CI/CD, automated testing, and responsible AI.

Skills

Python
LangGraph
LangChain
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Langfuse
Model Context Protocol
REST APIs
Vector Databases
Google Cloud
Vertex AI
BigQuery
CI/CD
Automated Testing
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Large Language Models
Python
LangGraph
LangChain
AI Agents
AI Workflows
Retrieval-Augmented Generation
Embeddings
Vector Search
Model Context Protocol
MCP Servers
Langfuse
LLM Monitoring
LLM Tracing
LLM Evaluation
Google Cloud
Vertex AI
BigQuery
REST APIs
Automated Testing
CI/CD
Responsible AI
Prompt Engineering
Financial Services
Cross-Functional Collaboration
Production-Ready AI
Secure and Scalable Applications

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