LLM Engineer: Forward Deployment & AI Pipelines in Toronto

LLM Engineer: Forward Deployment & AI Pipelines in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and deliver scalable AI-powered software solutions using cutting-edge technologies.
  • Company: ZS Associates, a leader in innovative tech solutions.
  • Benefits: Competitive salary, health benefits, remote work options, and growth opportunities.
  • Other info: Collaborative environment with excellent career advancement potential.
  • Why this job: Join a dynamic team and make an impact with AI technology on global projects.
  • Qualifications: Experience with LLM patterns, AWS, Azure, and DevOps practices.

The predicted salary is between 121500 - 148500 $ per year.

ZS Associates is seeking an LLM Engineer - Forward Deployment to design and deliver scalable AI-powered software solutions.

You’ll own architecture, translate business needs into technical design, and drive end-to-end implementation using AWS, Azure, and Databricks.

The role emphasizes LLM patterns (RAG, vector search, PEFT) and Dev Ops practices with Docker and Kubernetes.

Collaboration across teams and global client projects is expected.

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LLM Engineer: Forward Deployment & AI Pipelines in Toronto employer: ZS

ZS is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to drive meaningful impact through data engineering. With a strong focus on professional development, ZS offers comprehensive training programs, flexible working arrangements, and opportunities for internal mobility, ensuring that every team member can thrive and grow in their career. Located in Canada, ZS provides a unique environment that values diverse perspectives and encourages personal growth, making it an ideal place for passionate individuals looking to make a difference.

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Contact Details:

ZS Recruitment Team

We think you need these skills to ace LLM Engineer: Forward Deployment & AI Pipelines in Toronto

AI-Powered Software Solutions
Architecture Design
Technical Design
End-to-End Implementation
AWS
Azure
Databricks