Astra North Infoteck Inc.
Generative AI Developer (AWS Cloud)
Toronto, CAPresencialContratoTiempo completo
Publicado 10 sept 2026
Este empleo está publicado en EN
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.
Resumen del puesto
Tipo de empleo
Tiempo completo
Habilidades requeridas
Generative AILarge Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)Machine Learning (Python)ML frameworks (TensorFlow, PyTorch, Scikit-Learn)AWS AI/ML services (Amazon Bedrock, SageMaker)AWS serverless & API infrastructure (Lambda, API Gateway)AWS container orchestration (ECS/EKS)Develop AI-powered APIs/microservices and integrate with cloud-native applicationsModel monitoring, optimization and performance tuningMLOps and CI/CD for AI/ML deploymentsVector databases (Pinecone, OpenSearch, FAISS, ChromaDB)Collaboration with business stakeholders and cross-functional development teamsBFSI domain experience
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