Lead GenAI Engineer
Toronto, ON, Canada
A CAD 170K-200K (estimate) Senior-level Full Time
Tasks
- Build REST and gRPC APIs
- Build multi agent systems using agent frameworks
- Contribute to platform architecture decisions
- Deploy and operate services on cloud providers
- Design build and ship production grade generative and agentic AI applications
- Develop backend services in Python
- Implement observability tracing evaluation and guardrails
- Implement rag pipelines
- Integrate with LLM and foundation model APIs
- Mentor and coach junior and mid level engineers through code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AI risk management | AWS Bedrock | Agentic Workflows | AlloyDB | Amazon Web Services | Azure OpenAI | Cloud Native | Cloud Native Architecture | Cloud platform | Distributed Systems | Docker | Embeddings | Evaluation | GRPC | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Guardrails | Kubernetes | Langchain | Langgraph | Microsoft Azure | NIST AI | NIST AI Risk | NIST AI Risk Management | Observability | OpenSearch | PGVector | Pinecone | Prompt engineering | Python | REST API | Reranking | Retrieval-Augmented Generation | Risk Management | Tracing | Vector Databases | Vector Search | Vertex AI | Weaviate | Web Services
Education
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