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Generative AI Developer (AWS Cloud)
- Toronto, ON, Canada
Full-time
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The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Experience
- Experience Required: 6-8 Years
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Gen AI (AWS)
Location: Toronto, ON
Work Arrangement: Hybrid (2 days per week in-person at Toronto office preferred)
Skills: Machine Learning, Artificial Intelligence(AI) AI & Gen AI - Products & Tools
Experience Required: 6-8 Years
Job Description
- We are seeking a GenAI Developer with 5-8 years of experience in designing, developing, and deploying AI-driven solutions.
- The ideal candidate should have strong expertise in Generative AI, Machine Learning, and AWS cloud services.
Key Responsibilities
- Design and develop Generative AI applications using Large Language Models (LLMs).
- Build, train, evaluate, and deploy Machine Learning models.
- Develop AI-powered APIs and microservices for enterprise applications.
- Implement Retrieval-Augmented Generation (RAG) solutions and prompt engineering techniques.
- Utilize AWS AI/ML services such as Amazon Bedrock, SageMaker, Lambda, ECS/EKS, and API Gateway.
- Integrate AI solutions with cloud-native applications and enterprise platforms.
- Perform model monitoring, optimization, and performance tuning.
- Collaborate with business stakeholders and development teams to deliver scalable AI solutions.
Required Skills
- Generative AI, LLMs, Prompt Engineering, and RAG
- Machine Learning (Python, TensorFlow, PyTorch, Scikit-Learn)
- AWS Cloud (Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway)
Preferred Skills
- MLOps and CI/CD for AI/ML deployments
- Vector Databases (Pinecone, OpenSearch, FAISS, ChromaDB)
- BFSI domain experience
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
More about this job
Responsibilities
Design and develop Generative AI applications using LLMs and RAG solutions on AWS cloud services. Build, deploy, and optimize machine learning models and AI-powered APIs for enterprise applications.
Requirements
Requires 5-8 years of experience in AI/ML and AWS cloud services with a strong background in Python and LLMs. A bachelor's degree in Computer Science, Engineering, or Data Science is required.
Skills
- Generative AI
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
- Machine Learning
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- Amazon Bedrock
- Amazon SageMaker
- AWS Lambda
- ECS/EKS
- API Gateway
- MLOps
- Vector Databases
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Data & Analytics
- Engineering
- Consulting
Keywords
- Generative AI
- LLM
- RAG
- Machine Learning
- AWS
- Amazon Bedrock
- SageMaker
- Lambda
- ECS
- EKS
- API Gateway
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- MLOps
- CI/CD
- Pinecone
- OpenSearch
- FAISS
- ChromaDB
- BFSI
- Microservices
- Prompt Engineering
- Cloud-native
- Data Science