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Added 2 mins ago
O
Quality Engineer
OPmobility
Windsor, ON
- Full-time
Verify adherence to process controls and escalate non‑compliance.
Added 16 mins ago
Junior Cyber Incident Response Analyst
Hootsuite
Vancouver, BC · Toronto, ON
…occur, and support in developing and implementing technologies, controls, and processes to prevent them. This is a hybrid role and is open to applicants located within commuting distance of…
Added 32 mins ago
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Junior Cyber Incident Response Analyst
Hootsuite
Vancouver, BC
- Full-time
…occur, and support in developing and implementing technologies, controls, and processes to prevent them. This is a hybrid role and is open to applicants located within commuting distance of…
Added 32 mins ago
V
Embedded Firmware Engineer - Energy Storage (Controls & Connectivity)
Verdyn
Oakville, ON
- Full-time
Role Description The Embedded Firmware Engineer - Energy Storage (Controls & Connectivity) will design, implement, and maintain embedded software for Verdyn’s energy storage products and…
Added 32 mins ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Toronto, ON
- Full-time
…occur, and support in developing and implementing technologies, controls, and processes to prevent them. This is a hybrid role and is open to applicants located within commuting distance of…
Added 47 mins ago
VS
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- Full-time
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Added 1 hour ago
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DevOPS/Cloud Engineer – Senior (AWS CDK/Public Sector exp)
Bevertec
Toronto, ON
- Contract
Job Role: DevOPS/Cloud Engineer – Senior (AWS CDK/Public Sector exp)
Added 1 hour ago
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Aircraft Maintenance Engineer, ACA
Cargojet
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- Full-time
…avionics or hydraulic, pneumatic, engine systems, brakes and…
Added 1 hour ago
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- Other
We are looking for a hands-on BI Platform Operations Engineer to support the reliability and day-to-day operation of enterprise BI platforms, with a focus on Tableau Server, Amazon…
Added 1 hour ago
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GenAI Security Lead
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- Full-time
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Added 1 hour ago
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Senior Controls Engineer
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- Full-time
…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our…
Added 1 hour ago
Senior Electrical Engineer
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…firm. We have an exciting opportunity for a Senior Electrical Engineer to join our Electrical Utilities & Renewables team based in either Halifax, Nova Scotia or one of our New Brunswick…
Added 1 hour ago
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CBCL Limited
Halifax, NS
…firm. We have an exciting opportunity for a Senior Electrical Engineer to join our Electrical Utilities & Renewables team based in either Halifax, Nova Scotia or one of our New Brunswick…
Added 1 hour ago
Senior Electrical Engineer
CBCL Limited
Fredericton, NB
…firm. We have an exciting opportunity for a Senior Electrical Engineer to join our Electrical Utilities & Renewables team based in either Halifax, Nova Scotia or one of our New Brunswick…
Added 1 hour ago
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Full-Stack Software Engineer
Manulife
Toronto, ON
- Full-time
We’re looking for a Full Stack Software Engineer who enjoys solving complex problems, building reliable applications, and working across technologies to modernize enterprise-scale platforms.
Added 2 hours ago
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Generative AI Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
…stakeholders.• Assess AI platforms, LLM applications, model lifecycle controls, and supporting cloud infrastructure.• Perform AI threat modeling and identify risks such as prompt injection,…
Added 2 hours ago
AC
Process Engineer
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AB · Grande Prairie, AB
- Full-time
We are looking for a Intermediate/Senior Process Engineer to join our team to support the delivery of process projects, primarily in the Pulp and Paper sector. As the successful candidate,…
Added 2 hours ago
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DevOps Engineer
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Montreal, QC
- Full-time
Security Practices: Knowledge of critical cyber security controls
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Senior Security Engineer
Dye & Durham Talent Team
Toronto, ON
The Senior Security Engineer is responsible for advancing and protecting the organization's security posture through the design, implementation, and continuous improvement of cybersecurity…
Added 3 hours ago
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PD Software for Service
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- Full-time
The Service team is currently seeking a Software engineer/designer to specialize in resolving service issues with a focus on Injection Molding Machine controls, including servo drive and…
Added 3 hours ago
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Senior Mechanical Engineer- Material Handling
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Vancouver, BC
- Full-time
Worley is seeking a Senior Material Handling Engineer / Project Manager to provide senior-level mechanical engineering, materials handling, and project management expertise within the…
Added 3 hours ago
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Data Engineer
TimePlay
Toronto, ON
- Full-time
As a Software Engineer working on our data platform, you’ll design, build and operate the data systems that support our products, analytics, and internal teams.
Added 3 hours ago
ST
DevOps Engineer - Senior
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Toronto, ON
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Build, maintain, and enhance CI/CD/CT pipelines, incorporating automated testing, security controls, and deployment best practices.
Added 3 hours ago
AE
Manager, Project Management Office - Digital Services
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AB · Edmonton, AB
- Full-time
Apply the PMO mandate, services, roles, delivery lifecycle, governance forums, controls, templates, tools, and repositories established by the Director.
Added 3 hours ago
Staff Software Engineer - Identity & Access Management
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enableIT

Senior Agentic AI Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Senior Agentic AI Engineer

Location: Toronto, ON

Work Arrangement: Hybrid – 50% Remote

Employment Type: Long term contract

Interview: 3 rounds

Job Description:

We are seeking a Senior Agentic AI Engineer to design, develop, and deploy production-grade AI applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and Google Cloud Platform (GCP).

The ideal candidate will have strong Python development skills, hands-on experience building agentic AI solutions, and the ability to troubleshoot complex RAG pipelines, evaluate LLM application quality, and design scalable cloud-based architectures. This role requires solid software engineering fundamentals and the ability to take AI solutions from design and development through deployment, monitoring, and continuous improvement.

Key Responsibilities:

Design, develop, and maintain agentic AI applications and LLM-powered solutions for enterprise use cases.
Build and orchestrate multi-step AI workflows using LangGraph, LangChain, or similar frameworks.
Develop RAG pipelines using embeddings, vector search, and retrieval optimization techniques to deliver accurate, relevant, and grounded responses.
Troubleshoot RAG performance issues across document ingestion, chunking, embeddings, retrieval, reranking, context construction, and response generation.
Design and implement evaluation strategies for LLM and agentic AI applications, including retrieval quality, answer relevance, groundedness, hallucination detection, and regression testing.
Implement LLM observability, tracing, monitoring, and troubleshooting using Langfuse or comparable platforms.
Develop and integrate MCP-based tools and services to connect AI agents with enterprise systems, APIs, and data sources.
Build RESTful APIs and backend services using Python frameworks such as FastAPI or Flask.
Leverage Google Cloud services, particularly Vertex AI and BigQuery, to build and integrate cloud-based AI solutions.
Implement prompt engineering, tool calling, structured outputs, context management, and appropriate human-in-the-loop controls.
Apply software engineering best practices, including automated testing, version control, CI/CD, and production deployment.
Implement security, data privacy, responsible AI, and governance controls appropriate for enterprise AI applications.
Collaborate with product managers, architects, data engineers, and other stakeholders in an Agile delivery environment.
Troubleshoot production issues and continuously improve application reliability, performance, scalability, and response quality.

Required Skills and Experience:

5+ years of professional software development experience.
2+ years of hands-on experience developing agentic AI or LLM-powered applications.
Strong Python programming and software engineering fundamentals.
Demonstrated experience building, deploying, and supporting LLM-powered applications.
Hands-on experience with LangGraph, LangChain, or a similar AI application framework.
Experience with Langfuse or another LLM observability platform.
Understanding of Model Context Protocol (MCP) and its use in connecting AI agents with tools and enterprise systems.
Hands-on experience with Google Cloud services, particularly Vertex AI and BigQuery, with the ability to explain architecture decisions and service integrations.
Experience developing RAG solutions using embeddings and vector search.
Strong understanding of RAG troubleshooting, retrieval optimization, and techniques for improving answer quality and grounding.
Experience evaluating LLM and agentic AI applications using measurable metrics, test datasets, and regression testing.
Experience developing RESTful APIs using FastAPI, Flask, or a similar framework.
Understanding of prompt engineering, tool calling, structured outputs, context management, and multi-step agent workflows.
Experience with automated testing, Git, CI/CD, and production deployment practices.
Understanding of data privacy, AI safety, responsible AI principles, and enterprise application security.
Experience working with Agile methodologies.
Excellent verbal and written communication skills, including the ability to explain technical designs, troubleshooting approaches, and engineering trade-offs.

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More about this job

Responsibilities

Design, build, deploy, and maintain enterprise agentic AI and LLM applications, including multi-step workflows, RAG pipelines, APIs, and integrations with enterprise systems. Evaluate and monitor application quality, troubleshoot production issues, and improve reliability, security, performance, and response quality.

Requirements

Requires 5+ years of software development experience, including 2+ years building agentic AI or LLM-powered applications, with strong Python skills and hands-on experience with AI frameworks, RAG, and Google Cloud services. Candidates should also have experience with LLM observability and evaluation, API development, production engineering practices, enterprise security, and Agile collaboration.

Skills

Python
Agentic AI
Large Language Models
LangGraph
LangChain
Retrieval-Augmented Generation
Google Cloud Platform
Vertex AI
BigQuery
Langfuse
Model Context Protocol
Vector Search
FastAPI
Flask
CI/CD
LLM Evaluation

Visa sponsorship

Not detected in the job text

Keywords

Python
Agentic AI
Large Language Models
LangGraph
LangChain
Retrieval-Augmented Generation
Google Cloud Platform
Vertex AI
BigQuery
Langfuse
Model Context Protocol
Embeddings
Vector Search
Reranking
Prompt Engineering
Tool Calling
Structured Outputs
FastAPI
Flask
RESTful APIs
LLM Observability
LLM Evaluation
Automated Testing
Git
CI/CD
Production Deployment
Responsible AI
Data Privacy
Enterprise Security
Agile

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