Gen AI (AWS) Developer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original 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
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
More about this job
Responsibilities
Design and deploy AI-driven solutions using Large Language Models and AWS cloud services. Develop AI-powered APIs, microservices, and RAG implementations for enterprise applications.
Requirements
Requires 5-8 years of experience in Generative AI and Machine Learning with strong proficiency in Python and AWS AI/ML services. Experience with MLOps and vector databases is preferred.
Skills
- Generative AI
- LLMs
- Prompt Engineering
- RAG
- 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
- Engineering
- Data & Analytics
- Consulting
Keywords
- Generative AI
- LLMs
- Prompt Engineering
- RAG
- Machine Learning
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- AWS
- Amazon Bedrock
- SageMaker
- Lambda
- ECS
- EKS
- API Gateway
- MLOps
- CI/CD
- Pinecone
- OpenSearch
- FAISS
- ChromaDB
- BFSI
- Cloud-native
- Microservices
- Model Monitoring
- Performance Tuning
- IT Services
- IT Consulting
- Engineering