Senior AI Engineer

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Toronto, Canada

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AI/ML

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BCM Industry

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02/07/2026

Req. VR-123788

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Project description

We are looking for an experienced AI Engineer to design and deliver scalable Gen AI solutions. The role involves building production-ready AI products using Python, React, and AWS, while leveraging modern architectures such as LLM pipelines, RAG, and agent-based systems.
This role is for subcontractors.

Responsibilities
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AI Engineer Responsibilities

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Lead and actively contribute to the development of AI products, pilots and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.

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Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech.

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Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.

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Optimize performance of AI products, Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.

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Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.

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Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap.

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Own end-to-end delivery of Gen AI solutions. Manage timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).

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Monitor operational metrics and incident data to drive continuous improvement and reliability.

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Ensure adherence to governance, DevSecOps protocols.

Skills

Must have

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Experience/Skiils:

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6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.

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Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques

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Agentic AI, MCP, and Graph/RAG architectures

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Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock)

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Web application development using Next.js, React, TypeScript/JavaScript

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AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)

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Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments

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ETL orchestration using Apache Airflow/DAGs

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Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization

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Python programming (NumPy, Pandas, Matplotlib, Boto3)

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Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium,)

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Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).

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Knowledge of LLM fine tuning techniques

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Experience in BI tools like QuickSight, Tableau

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Knowledge of financial markets and enterprise data systems

Nice to have

Other
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Languages

English: C1 Advanced

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Seniority

Senior

Toronto, Canada

Req. VR-123788

AI/ML

BCM Industry

02/07/2026

Req. VR-123788

Apply for Senior AI Engineer in Toronto

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