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This listing was closed on Jul 19, 2026.
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Summary by AIEngineer.careers
AI Engineer is a AI Engineer role (full-time). with MarkiTech. in TORONTO, CA. Imported listing (source: ziprecruiter.com). Apply on the employer's site (ziprecruiter.com).
Imported listing (source: ziprecruiter.com) · Apply on ziprecruiter.com
TORONTO · CA
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Full-time
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ziprecruiter.com
MarkiTech is seeking an AI Engineer to build and deploy advanced AI solutions, including agent-based Generative AI applications using RAG and multi-agent workflows. The role involves working with AWS services like Bedrock, EKS, and CodePipeline, as well as open-source frameworks such as LangChain and LangGraph. You will collaborate with data scientists and DevOps to operationalize AI solutions and optimize performance.
Responsibilities
- Develop and deploy agent-based Generative AI applications using RAG and multi-agent workflows.
- Implement scalable Gen AI solutions leveraging AWS Bedrock, Amazon EKS, and AWS CodePipeline.
- Utilize open-source frameworks such as LangChain and LangGraph to accelerate solution development.
- Operationalize APIs for Gen AI applications, deploying containerized solutions on Kubernetes (EKS).
- Evaluate and optimize application performance using observability tools and Gen AI evaluation frameworks.
- Build and deploy intelligent Agents capable of inter-agent communication to achieve complex objectives.
Requirements
- Hands-on experience building and deploying machine learning and Generative AI solutions, with expertise in agent-based architecture.
- Deep knowledge of ML and AI concepts, particularly in Generative AI (e.g., LLMs, RAG, agent frameworks).
MarkiTech
Oakville · CA · 26+ employees
MarkiTech.AI is a Canadian company specializing in digital healthcare solutions, AI agents, and automation for healthcare and telco. It builds intelligent platforms that enhance care delivery and reduce administrative burdens.
