GenAI Developer – Hybrid in Montréal

GenAI Developer – Hybrid in Montréal

Montréal Full-Time 123750 - 151250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and deploy cutting-edge AI workflows and systems with a focus on collaboration.
  • Company: Join Cossette, a leader in innovative tech solutions.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Be part of a dynamic team driving innovation in the AI space.
  • Why this job: Make an impact by working on groundbreaking AI projects that shape the future.
  • Qualifications: Strong skills in Python, JavaScript/TypeScript, and experience with CI/CD and Docker.

The predicted salary is between 123750 - 151250 $ per year.

Cossette is seeking a Gen AI / Generative AI Developer to design and deploy end-to-end agentic workflows and RAG systems.

You will map architectures, integrate LLMs and orchestration tools, and collaborate with front-end and back-end teams to deliver robust, production‑quality AI solutions.

You will optimise prompts, handle data in all forms, and ensure observability and API quality.

Strong Python and Java Script/Type Script skills are essential, with CI/CD and Docker experience.

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GenAI Developer – Hybrid in Montréal employer: Cossette

At Cossette, we foster a vibrant and innovative work culture that empowers our employees to push boundaries and drive meaningful change. Located in Alberta, we offer flexible work models, generous vacation policies, and a commitment to personal and professional growth, ensuring that every team member thrives in an environment that values creativity and collaboration. Join us to be part of a dynamic team that not only shapes the future of marketing but also prioritizes your well-being and development.

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Contact Details:

Cossette Recruitment Team

We think you need these skills to ace GenAI Developer – Hybrid in Montréal

Generative AI Development
End-to-End Workflow Design
LLM Integration
Orchestration Tools
Collaboration with Front-End Teams
Collaboration with Back-End Teams
Prompt Optimization