Director, AI & Agentic Engineering
135 W 26th Street, New York, NY 10001; Montréal, Quebec, Canada
CAD 200K Executive-level Full Time
Tasks
- Architect and deploy on Google Gemini Enterprise and Vertex AI
- Build and optimize production AI systems
- Build demos and proofs-of-concept
- Create evaluation frameworks for LLM systems
- Curate training data for fine tuning
- Define context engineering practices
- Deploy models to production
- Design RAG architectures
- Develop agent harnesses and orchestration
- Implement guardrails for LLM safety
- Lead AI and machine learning solution architecture
- Lead fine tuning and model adaptation pipelines
- Set up observability for AI systems
- Support pre sales solution scoping
- Use LangGraph
- Use Langchain
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AWS Bedrock | Amazon Web Services | CI/CD | Cloud platform | Deep learning | Docker | Embeddings | Fine Tuning | Google Cloud | Google Cloud Platform | Google Gemini | Infrastructure as Code | JavaScript | Knowledge graphs | Kubernetes | LLM Observability | LLMOps | Langchain | Langgraph | Machine Learning | Microservices | Microsoft AI | Microsoft AI Foundry | Model Evaluation | Node.js | Prompt engineering | Python | RAG | React | Serverless | Supervised Fine Tuning | Terraform | Tool-Calling | TypeScript | Vector Databases | Vector storage | Vertex AI | Web Services | “as-code”
Education
Regions
Countries
States
Cities
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