Gen AI Engineering and Scaled AI Transformation
Location(s): Mississauga, Ontario, Canada
CAD 145K-217K Senior-level Full Time
Tasks
- Build RAG-architectures
- Build embeddings training and fine tuning pipelines
- Containerize services with Docker
- Create GenAI evaluation frameworks
- Define LLM model selection strategy
- Deploy LLM systems in production
- Design agentic multi step workflows
- Develop FastAPI AI powered APIs
- Establish AI governance and evaluation
- Implement observability and monitoring
- Implement prompt engineering and orchestration standards
- Implement safety guardrails and moderation
- Implement vector databases and embeddings
- Lead GenAI engineering teams in agile environments
- Manage incident response and reliability
- Optimize latency throughput and token cost
- Optimize retrieval with hybrid search
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | APIs | Async Programming | Context Optimization | Deep learning | Docker | Embeddings | Faiss | FastAPI | Fine Tuning | Generative AI | Guardrails | Hallucination detection | Hugging Face | Human-in-the-loop | Hybrid search | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Metadata filtering | Model Evaluation | Moderation | Monitoring | Observability | PGVector | Pinecone | Prompt engineering | PyTorch | Python | RAG | Reranking | Responsible AI | Retrieval-Augmented Generation | TensorFlow | The Loop | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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