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AI​/Prompt Developer – ML Engineer

Job in Montreal, Montréal, Province de Québec, Canada
Listing for: Enterprise Solutions Inc.
Full Time position
Listed on 2026-09-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 110000 - 150000 CAD Yearly CAD 110000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: AI / Prompt Developer – ML Engineer
Location: Montreal

Seeking an AI Engineer skilled in GenAI LLMOps and MLOps to design develop and deploy scalable productiongrade machine learning and generative AI solutions.

Responsibilities

  • Design develop and deploy productiongrade Machine Learning and Generative AI solutions
  • Build intelligent systems including predictive ML models covering complete model lifecycle management
  • Develop advanced applied Large Language Model LLM applications and Retrieval Augmented Generation RAG pipelines
  • Automate complex workflows and enhance user experiences through AIdriven solutions
  • Collaborate with cross functional teams to transition AI models from prototypes to scalable secure and high performance enterprise APIs
  • Utilize expertise in Python programming and SQL for solution development
  • Implement Generative AI techniques including LLMs Lang Chain Lang Graphs Claude Gemini prompt engineering and LLMOps
  • Apply Machine Learning and Deep Learning frameworks such as PyTorch Tensor Flow Scikit Learn and XGBoost
  • Work with vector databases like Pgvector and Chroma for efficient data retrieval
  • Leverage distributed processing tools including Apache Spark and Apache Iceberg
  • Employ MLOps practices for deployment using Docker Kubernetes Open Shift  and FastAPI
  • Build high performance scalable APIs with Python FastAPI to expose AI capabilities required for solutions

Responsibilities - Roles and Responsibilities

  • Design and implement endtoend AIML solutions incorporating GenAI and LLMOps best practices
  • Develop and maintain scalable secure APIs for AI model deployment
  • Manage full ML model lifecycle including training validation deployment monitoring and retraining
  • Collaborate with data scientists engineers and product teams to integrate AI solutions into enterprise applications
  • Optimize AI workflows to ensure high performance and reliability in production environments
  • Stay updated with the latest advancements in Generative AI LLMOps and MLOps to continuously improve solutions
  • Troubleshoot and resolve issues related to AI model deployment and production systems
  • Document AI system architecture deployment processes and best practices

Required Skills

  • Mandatory Skills
  • GenAI - LLMOps
  • Python

We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.

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