GenAI & MLOps Engineer — Build Scalable AI APIs

Enterprise Solutions Inc.; Montreal (administrative region); On-site; CAD 110,000 - 150,000; Full time

Job summary

Enterprise Solutions Inc. seeks an AI Engineer specializing in GenAI, LLMOps and MLOps to design, develop and deploy scalable, production‑grade ML and generative AI solutions in a Montreal environment.

The role focuses on end‑to‑end model lifecycle management, advanced LLM applications, and building fast, secure APIs with Python, FastAPI and containerized deployments, collaborating with data scientists and engineers to deliver enterprise‑grade AI capabilities.

Qualifications

• Experience designing GenAI and MLOps in production environments.
• Proficient in Python and SQL.
• Experience deploying scalable APIs with Docker/Kubernetes.
• Familiar with vector databases and data pipelines.

Responsibilities

• Design, develop and deploy production-grade ML and Generative AI solutions.
• Manage full ML model lifecycle from training to retraining.
• Build scalable enterprise APIs using FastAPI.
• Collaborate with cross-functional teams to productionize AI solutions.
• Stay updated on GenAI, LLMOps and MLOps best practices.
• Troubleshoot and optimize AI workflows in production.
• Document AI system architecture and deployment processes.

Skills

GenAI - LLMOps

Python

SQL

MLOps

Docker

Kubernetes

FastAPI

LangChain

Tools

PyTorch

TensorFlow

Spark

Iceberg

Pgvector

Chroma

OpenShift

Job description

Enterprise Solutions Inc. seeks an AI Engineer specializing in GenAI, LLMOps and MLOps to design, develop and deploy scalable, production‑grade ML and generative AI solutions in a Montreal environment.

The role focuses on end‑to‑end model lifecycle management, advanced LLM applications, and building fast, secure APIs with Python, FastAPI and containerized deployments, collaborating with data scientists and engineers to deliver enterprise‑grade AI capabilities.