AI Architect
Tasks
- Build batch and streaming data pipelines
- Build retrieval and grounding infrastructure
- Define evaluation strategy
- Design cloud deployment architecture on AWS
- Design data warehouse and data pipelines
- Design ingestion pipelines for brand and campaign data
- Design prompt and context architecture
- Develop agent tool use patterns
- Ensure safety and PII handling
- Implement embedding and chunking strategies
- Implement multi turn tool calling loops
- Operate production systems under load
- Select model routing and model providers
- Set AI platform technical direction
- Tune SQL query performance using query plans
Perks/Benefits
- Birthday off
- Employer Paid Benefits
- Five health days
- Generous vacation package
- Health spending account
- Hybrid work with downtown Toronto office
- One personal day
- Personal development budget
- RRSP Group Savings Plan
- Stock options
- Two volunteering days
- Work from anywhere up to 4 weeks
Skills/Tech-stack
AWS ECS | AWS EKS | AWS IAM | Airflow | Batch Processing | BigQuery | Braintrust | CDC | DBT | Dagster | Data Pipelines | DuckDB | ETL | Embeddings | Evals | Fastify | Hybrid search | LLM | Model routing | Nuxt.js | PGVector | Postmortems | Prefect | Prompt engineering | Promptfoo | Redshift | Reranking | Retrieval-Augmented Generation | Ruby | Ruby on Rails | S3 | SQL | SQS | Sidekiq | Snowflake | Streaming | Terraform | TypeScript | VPC | Vector Databases | Vue.js
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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