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Astra North Infoteck Inc.

Astra North Infoteck Inc.

Generative AI Developer (AWS Cloud)

Toronto, CAオンサイト契約社員フルタイム

2026年9月10日に掲載

この求人はENで掲載されています

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.


職種スナップショット

職種

フルタイム

必要なスキル

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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