Closed listing
Generative AI Engineer
- Toronto, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Job Summary
AI Engineer with expertise in Generative AI, LLMOps, and MLOps, responsible for building and deploying scalable AI solutions, developing LLM and RAG applications, managing the end-to-end ML lifecycle, creating FastAPI-based services, and leveraging tools like Python, LangChain, PyTorch, Spark, Docker, and Kubernetes to deliver production-ready enterprise AI systems.
More about this job
Responsibilities
Build and deploy scalable AI solutions, including large language model and retrieval-augmented generation applications. Manage the end-to-end machine learning lifecycle and create FastAPI-based services to deliver production-ready enterprise AI systems.
Requirements
The role calls for expertise in Generative AI, LLMOps, and MLOps, along with experience building and deploying AI applications. It also involves using Python, LangChain, PyTorch, Spark, Docker, Kubernetes, and FastAPI.
Skills
- Generative AI
- LLMOps
- MLOps
- Large Language Models
- Retrieval-Augmented Generation
- Python
- LangChain
- PyTorch
- Apache Spark
- Docker
- Kubernetes
- FastAPI
- Machine Learning Lifecycle
- AI Solution Deployment
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
Keywords
- Generative AI
- LLMOps
- MLOps
- Large Language Models
- Retrieval-Augmented Generation
- Scalable AI Solutions
- Machine Learning Lifecycle
- FastAPI
- Python
- LangChain
- PyTorch
- Apache Spark
- Docker
- Kubernetes
- Enterprise AI
- Production Deployment
- IT Services
- IT Consulting