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docker aws python django kubernetes📋 Description
- Build production-grade AI features from concept to deployment
- Architect scalable backends to support AI workloads
- Implement agentic AI, RAG pipelines, multi-agent workflows
- Own end-to-end features: DB design, APIs, model integration
- Collaborate with product, design, and data teams
- Run experiments and A/B tests to improve AI performance
🎯 Requirements
- 10+ years software engineering with AI/ML focus
- Deep understanding of LLMs, prompts, RAG, vector DBs
- Python expertise with FastAPI, Django, or Flask
- Cloud and DevOps: AWS/GCP/Azure, Docker/Kubernetes, CI/CD
- Data processing: statistics, data pipelines, ETL
- Experimentation mindset: A/B testing & eval frameworks
- Quality, observability and monitoring in AI systems
- Collaborative communication with technical and non-technical stakeholders
🎁 Benefits
- Flexible remote work within Canada
- Flexible working hours
- Generous time off
- Extended health, vision, dental, and EAP
- Stock options
- DEI initiatives
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