AI Applied Senior Engineering Lead
Location(s): Mississauga, Ontario, Canada
CAD 145K-217K Senior-level Full Time
Tasks
- Build LLM driven workflows
- Collaborate with cross-functional teams
- Define evaluation metrics and feedback loops
- Design and deploy agentic AI frameworks
- Design microservices and event-driven architectures
- Develop and integrate Generative AI solutions
- Develop full-stack AI applications
- Ensure security and reliability
- Implement MVP first rapid prototyping
- Mentor junior engineers
- Research and prototype autonomous and agent based AI
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | Agent systems | Agile delivery | Angular | Anthropic | Application Resiliency | CI/CD | Code Reviews | Continuous Experimentation | Docker | Event Driven | Event-driven architecture | Git | Java | JavaScript | Knowledge representation | Kubernetes | LLM | Machine Learning | Microservices | Multi-Agent | Multi-Agent Systems | Node.js | NumPy | OpenAI | OpenShift | Pandas | Planning | Prompt engineering | Prompting | PyTorch | Python | RAG | REST APIs | Scikit-learn | Security | Spring Boot | TensorFlow | Testing | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Software Engineer
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