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docker python kubernetes databricks fastapi📋 Description
- Build AI-powered features end-to-end from concept to deployment.
- Architect scalable systems for low latency and reliability.
- Drive AI innovation with agentic AI, RAG pipelines.
- Own the full stack: DB design, APIs, AI model integration.
- Collaborate with product, design, and data teams.
- Experiment and iterate with A/B tests to improve UX.
🎯 Requirements
- 5+ years hands-on AI/ML engineering.
- LLMs, prompt engineering, RAG, vector DBs (Databricks/pgVector).
- LangChain or similar agentic AI frameworks.
- Python with FastAPI/Flask/Django and microservices.
- Cloud and DevOps: AWS/GCP/Azure; Docker/Kubernetes; CI/CD.
- Data processing: ETL, data pipelines, statistics.
🎁 Benefits
- Flexible remote-first with Canada-wide work.
- Responsible time off to rest and recharge.
- Extended health, vision, dental, EAP, and wellness account.
- Community initiatives and Donate Your Day program.
- Stock options and equity opportunities.
- DEI initiatives and inclusive culture.
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