AI Engineer

Remote in Mississauga, ON, CA • Posted 19 days ago • Updated 6 days ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Python
  • TensorFlow
  • PyTorch
  • Machine Learning Engineer
  • deep learning
  • Large Language Models (LLMs)
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • AI Engineer
  • ML Engineer
  • Model Deployment
  • Feature Engineering
  • Machine Learning (ML)
  • Hugging Face
  • Model Optimization
  • etc.)
  • AWS / Azure / GCP
  • Generative AI Engineer
  • Embeddings
  • Applied AI Engineer
  • LLM Engineer
  • Supervised / Unsupervised Learning
  • Model Performance Monitoring
  • Model Drift Detection
  • Vector Search
  • Vector Databases (Pinecone
  • Weaviate
  • FAISS
  • Fine-Tuning LLMs
  • AI-powered Applications
  • Production ML Systems
  • AI Engineers
  • Model Training & Evaluation

Summary

Solution IT Inc. is looking for AI Engineer for one of its clients Toronto, Canada (Remote)

Job Title: AI Engineer

Summary

We're hiring an AI Engineer to build, fine-tune, and deploy machine learning and LLM-powered applications. You'll work hands-on with models, data pipelines, and production systems to bring AI features into real products.

Responsibilities:

  • Build and deploy ML/AI models and AI-powered features
  • Fine-tune, evaluate, and optimize models (including LLMs)
  • Develop inference pipelines and integrate models into backend services
  • Implement RAG pipelines, embeddings, and vector search
  • Work with data engineers to prepare training and evaluation datasets
  • Monitor model performance, drift, and reliability in production
  • Optimize latency, cost, and performance of AI services
  • Write clean, tested, production-quality code

Required Skills:

  • 3+ years of experience in software engineering or ML engineering
  • Strong Python skills (PyTorch, TensorFlow, or similar)
  • Experience deploying ML models to production environments
  • Experience working with APIs, microservices, and cloud platforms
  • Understanding of ML fundamentals (training, evaluation, feature engineering)

Nice to Have

  • Experience with LLMs, prompt engineering, RAG, and vector databases
  • Experience with MLOps, CI/CD, monitoring, and model versioning
  • Experience with distributed systems or data pipelines
  • Familiarity with SQL and basic data engineering concepts

Work Site: Toronto, Canada (Remote)

Duration: 6 Months

Expected Start Date: Immediate - 2 weeks

Number of Positions: 01

Please send your responses back to

Thanks

Recruiting Team

SOLUTION IT INC

Work: / Extn 120 /121 /125/126/142/143/145/146

URL:

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  • Dice Id: 10290916
  • Position Id: 2026-12486
  • Posted 19 days ago
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