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docker python django kubernetes databricks📋 Description
- Build AI-powered features from concept to deployment
- Architect backend systems for AI workloads with low latency
- Drive AI innovation with agentic AI, RAG pipelines
- Own the full stack from DB design to API and monitoring
- Collaborate cross-functionally with product, design, and data teams
- Optimize and iterate with experiments and A/B testing
🎯 Requirements
- 5+ years hands-on AI/ML engineering, deploying features in production
- AI & ML: LLMs, prompts, RAG, vector DBs, LangChain/ADK
- Strong Python with FastAPI, Flask, Django and microservice patterns
- Cloud & DevOps: AWS/GCP/Azure, Docker/Kubernetes, CI/CD
- Data Processing: statistics, data pipelines, ETL
- Experimentation mindset: A/B testing and evaluation frameworks
- Quality-focused: code quality, testing, monitoring, observability
- Collaborative: strong communication with technical and non-technical stakeholders
🎁 Benefits
- Flexible working: remote-first within Canada
- Responsible time off
- Extended health benefits including vision, dental, EAP
- Community initiatives and Donate Your Day program
- Stock options
- DEI initiatives
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