🛠 Tech Stack

💼 About This Role

You'll architect and deploy production-grade AI solutions for enterprise clients, leading implementation of NLP, LLM-based applications, and intelligent agents. You'll combine software engineering discipline with deep hands-on experience in generative AI on AWS. You'll also mentor teams and establish best practices for model lifecycle management.

🎯 What You'll Do

• Architect and deploy production-grade AI and generative AI solutions
• Lead implementation of NLP, LLM-based applications, and intelligent agents
• Build and integrate AI services using AWS Bedrock and AWS SageMaker
• Design APIs, microservices, and event-driven integrations

📋 Requirements

• 6+ years software development experience
• Expert proficiency in Python with strong backend development
• Hands-on experience with TensorFlow, PyTorch, or scikit-learn
• Proven experience with AWS SageMaker and AWS Bedrock

✨ Nice to Have

• Experience with LLM-based and agentic systems
• Knowledge of MLOps and AI governance
• Consulting or client-facing delivery experience

🎁 Benefits & Perks

• 🏖️ 4 weeks vacation from day one
• 💼 Professional Development Allowance for training and equipment
• 💰 RRSP with employer contribution up to 3% of salary
• 🏥 Modular group insurance plan
• 🚍 Public transportation or parking reimbursement

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Interview· 45 min
4. 4Offer· N/A