Job Description Gen AI Developer AWS, Generative AI, LLMs & Amazon Bedrock Location: Toronto- Hybrid: 2 days a week in office 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 robust 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, Sage

Maker, 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, Tensor

Flow, PyTorch, Scikit-Learn) AWS Cloud (Bedrock, Sage

Maker, Lambda, ECS/EKS, API Gateway) Preferred Skills MLOps and CI/CD for AI/ML deployments Vector Databases (Pinecone, Open

Search, FAISS, ChromaDB) BFSI domain experience Education Bachelor''s degree in Computer Science, Engineering, Data Science, or a related field.

📌 Gen AI Engineer - AWS, LLM, RAG, ML (Toronto)
🏢 Astra North Infoteck
📍 Toronto