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Added 9 days ago
DH
CFD Intern
De Havilland Aircraft of Canada Limited
Mississauga, ON
- Volunteer
Create Python scripts for quicker post-processing.
Added 9 days ago
RB
Senior Manager, Client Engagement
Royal Bank of Canada
Toronto, ON
- Full-time
…investments, place trades quickly and track how they are doing. As Senior Manager, Client Engagement, you will be accountable for developing insights and proposals to improve our client's…
Added 9 days ago
KG
PKI & Certificate Automation Engineer
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking a highly skilled Senior PKI & Certificate Automation Engineer with strong expertise in Digital Certificate Lifecycle Management, PKI Infrastructure, TLS/mTLS Security,…
Added 9 days ago
CS
Azure .Net Developer
Cyber Space Technologies LLC
Toronto, ON
- Contract
We are seeking a highly skilled Senior Azure Applications Developer with extensive experience in cloud-based application development, specifically within the Microsoft Azure ecosystem. In…
Added 9 days ago
VR
Macro Strategies Co-Op Internship - Winter 2027
Validus Risk Management
Toronto, ON
- $22 to $25 CAD / hour
- Full-time
Preparing synthetic presentations once the information/data is sourced to present to senior members of team.
Added 9 days ago
C
Senior Customer Engineer, Digital Native - Vancouver BC
Cloudflare
BC · British Columbia, Canada
- Full-time
Added 9 days ago
AI
Snowflake ETL/ELT Developer
Apptoza Inc.
Calgary, AB
- Contract
We are looking for a Senior ETL developer with Snowflake experience to serve as a technical leader and trusted advisor for business/stakeholders. This role is not just about building data…
Added 9 days ago
VC
Senior Software Engineer (Golang, Microservices, DevOps)
VTRAC Consulting Corporation (WBE)
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $140,000 CAD / year
- Full-time
Position: Senior Software Engineer (Golang, Microservices, DevOps)
Added 9 days ago
C
Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…multiple back-end systems. As a Sr. Consultant, Full Stack Developer you’ll assemble, implement and maintain easy, flexible, and personalized solutions that enhance the client experience…
Added 9 days ago
AI
ETL Developer - Snowflake
Apptoza Inc.
Calgary, AB
- Contract
Seeking a Senior ETL Developer with strong Snowflake expertise to design scalable, secure, and cost-effective data platforms. The ideal candidate will have hands-on experience with…
Added 9 days ago
CFD Intern
Westerkirk
Mississauga, ON
Create Python scripts for quicker post-processing.
Added 9 days ago
C
Senior AI Developer - AI Agents
Cerence
Montreal, QC
- Full-time
Added 9 days ago
C
Senior AI Developer - AI Agents
Cerence
Montreal, QC
- Full-time
Added 9 days ago
R
Senior Manager, Client Engagement
RBC
Toronto, ON
- Full-time
…investments, place trades quickly and track how they are doing. As Senior Manager, Client Engagement, you will be accountable for developing insights and proposals to improve our client's…
Added 9 days ago
T
Data Scientist - Credit Risk (ATH 5749)
TD
Toronto, ON
- Full-time
Reporting to the Senior Manager, Credit Strategy, you'll support the MBNA and other credit card portfolios by combining analytics, strategic thinking, and stakeholder collaboration to solve…
Added 9 days ago
Senior Product Analyst, Consumer Analytics (f/m/x)
HelloFresh
Toronto, ON
We are looking for a Senior Product Analyst, with deep expertise in web and app analytics, to help drive data-informed product and growth decisions across our organization. You will join…
Added 9 days ago
Senior Backend Product Engineer, Menu Operations
HelloFresh
Toronto, ON
As we continue evolving this system, extending its capabilities, and preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for…
Added 9 days ago
SC
Principal Data Engineer
Sleep Country
Brampton, ON
- Full-time
Sleep Country/Dormez-vous? is seeking a Principal Data Engineer to provide senior technical leadership for our enterprise data strategy, platform architecture, and engineering capabilities.…
Added 9 days ago
SM
RQ11255 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior Systems Testing/QA Specialist with extensive experience in software quality assurance, commercial off-the-shelf (COTS) application testing, functional and…
Added 9 days ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 9 days ago
E
Senior Agentic AI Engineer
enableIT
Toronto, ON
- Contract
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…
Added 9 days ago
AS
Quality Engineer (QE) / SDET – AI Chatbot Validation
Ardent SoftSol Inc.
Brampton, ON
- $38 to $40 CAD / hour
- Contract
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team…
Added 9 days ago
C
Consultant, IT Quality Assurance
CIBC
Toronto, ON
- Full-time
…ensure client needs are met with the highest quality. As a Senior Test Coordinator, you’ll be a team lead on CIBC’s Technology team, assigning and overseeing the execution of test cases and…
Added 9 days ago
FS
Business Analyst, Pension
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
- Full-time
…initiatives for submission to the Pensions Division and FSRA senior…
Added 9 days ago
Z
Red Team Engineer AND Penetration Tester
Zoho
Toronto, ON
- Contract
Senior Penetration Tester / Red Team Engineer

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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