Gen AI Engineer - AWS, LLM, RAG, ML

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.