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Generative AI Developer

Lancesoft — Canada · Posted ~2 hours ago

Senior CAD 45-50/hr

Skills

Generative AI Large Language Models Machine Learning Prompt engineering RAG AWS AI application development API development Microservices Model deployment Model monitoring LLMs Amazon Bedrock SageMaker Lambda ECS/EKS API Gateway

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Summary ✨ AI‑Generated

Develop and deploy enterprise-grade Generative AI applications as an experienced AI engineer. You will work with LLMs, RAG, prompt engineering, machine learning, and cloud-native AI services; build APIs and microservices; and monitor and optimize models for scalable production use.

Highlights

Build and deploy enterprise Generative AI solutions using LLMs, RAG, machine learning, and cloud-native services. The role combines hands-on AI development with scalable APIs, model optimization, and collaboration with business and engineering stakeholders.

Description

Pay Range: CAD 45-50/hr 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