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Added 6 mins ago
Manager, Enterprise Data Platform & Governance
Vacances Air Canada Vacations / Air Canada Rouge
Montreal, QC
10+ years in of data platform, or data analytics experience
Added 7 mins ago
MI
Senior Power BI Developer
Maarut Inc
Montreal, QC
- Contract
Development on the Power BI platform: reports, semantic models and data gateways
Added 7 mins ago
HT
Business Systems Analyst/ Databricks
High Tech Genesis
Toronto, ON
- Contract
Experience supporting data transformation, data integration, or data platform initiatives.
Added 7 mins ago
TC
Production Support Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
3 Monitor application health, performance, and platform stability.
Added 21 mins ago
U
Human Resources Generalist
Univeris
Toronto, ON
- Full-time
…clients representing over 17,000 financial advisors on the platform. It offers the most comprehensive wealth management solution for financial advisors in the credit union, banking,…
Added 21 mins ago
CH
Business Systems Analyst
Charton Hobbs Group
Montreal, QC
- Full-time
…Fabric environment, which we operate like any other business platform. You will resolve issues escalated by our service desk, remove the root causes of recurring issues, assess the impact…
Added 21 mins ago
C
Senior AI Developer - AI Agents
Cerence
Montreal, QC
- Full-time
…of the assistant, build the agent that serves it on our xUI™ platform, and make it work in the Cloud and on the Edge…
Added 21 mins ago
C
Senior AI Developer - AI Agents
Cerence
Montreal, QC
- Full-time
…of the assistant, build the agent that serves it on our xUI™ platform, and make it work in the Cloud and on the Edge…
Added 21 mins ago
R
Senior Manager, Client Engagement
RBC
Toronto, ON
- Full-time
…account cross-sell rates, and monthly/daily activity rates on the platform, all with the goal of optimizing client lifetime…
Added 36 mins ago
T
Data Scientist - Credit Risk (ATH 5749)
TD
Toronto, ON
- Full-time
…strategies that drive customer and business outcomes. We combine analytics, strategic thinking, and stakeholder influence to balance growth, profitability, customer experience, and risk…
Added 36 mins ago
Senior Backend Product Engineer, Menu Operations
HelloFresh
Toronto, ON
Contribute to the evolution of the platform toward event-driven patterns using technologies like Kafka
Added 36 mins ago
SC
Principal Data Engineer
Sleep Country
Brampton, ON
- Full-time
…senior technical leadership for our enterprise data strategy, platform architecture, and engineering capabilities. You will design scalable, secure, and future-ready data platforms…
Added 36 mins ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
TriMech is investing in a modern enterprise data platform - built on Microsoft Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven…
Added 36 mins ago
SM
RQ11599 – Technology Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…all or specific applications in a large, distributed, cross-platform environment. Responsibilities also include identifying relevant information and determining the environment that will be…
Added 36 mins ago
T
GKE Cloud Security Engineer
TheCorporate
ON · Ontario, Canada
- Contract
Design, deploy and manage containerized environments using Kubernetes, GKE (Google Kubernetes Engine), AKS, or similar platform.
Added 36 mins ago
IS
ML Ops/AI Lead
Iris Software Inc.
Toronto, ON
- Full-time
Require a strong blend of technical depth, system design and leadership and management skills and apply these principles to building out an evolving ML / AI platform on cloud.
Added 36 mins ago
TC
ServiceNow Architect
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Define architectural standards for scalability, availability, performance, security, maintainability, monitoring, and platform governance.
Added 36 mins ago
CI
Account Director
Citylitics Inc.
Toronto, ON
- Full-time
…vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape…
Added 36 mins ago
WC
Manager, Software (Embedded & Digital Products)
Wabtec Corporation
London, ON
- Full-time
Guide the development of a common, modular software platform across Monitoring, Test Equipment, Locomotive Control Systems, Remote Access, and related products to increase reuse, shorten…
Added 52 mins ago
Water Strategy Manager, AWS Water Team
Amazon
Toronto, ON
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the…
Added 1 hour ago
ET
AI Architect
Envision Technology Solutions
Canada
- Contract
Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and…
Added 1 hour ago
RD
Sr Platform RUN Database Engineer
Randstad Digital
Ottawa, ON
- Full-time
…performance, and stability across core cloud and application platform databases. Reporting directly to the Platform Engineering or Platform Operations Team Lead, you will take ownership of…
Added 1 hour ago
E
Senior Agentic AI Engineer
enableIT
Toronto, ON
- Contract
…frameworks, Retrieval-Augmented Generation (RAG), and Google Cloud Platform…
Added 1 hour ago
FS
Business Analyst, Pension
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
- Full-time
Proficiency in Microsoft Power Platform, Python, SQL, a
Added 1 hour ago
Data Analyst
GFT Technologies SE
Toronto, ON
Experience working with Azure Data Platform, Databricks, or cloud-based analytics solutions.

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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