Gen AI Engineer - AWS, LLM, RAG, ML
Summary
GenAI Developer building and deploying LLM-based applications, RAG solutions, and AI-powered microservices on AWS (Bedrock, SageMaker, Lambda, ECS/EKS).
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 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. |