AWS AI/ML Engineer

The role requires strong Python proficiency and hands-on experience with LLM inferencing, RAG architectures, and vector search pipelines. It focuses on integrating AI models into production systems using AWS AI/ML services, building scalable backend APIs, and applying classical machine learning concepts. The role also involves prompt engineering, orchestration, and contributing to advanced AI use cases. Strong Python proficiency (core requirement). Hands-on experience with LLM inferencing using OpenAI, Anthropic, and AWS Bedrock. Knowledge of RAG architectures and vector search pipelines. Experience with embeddings and vector databases such as FAISS, Pinecone, and Weaviate. Experience with AWS AI/ML services including SageMaker, Bedrock, Lambda, API Gateway, S3, and DynamoDB. Understanding of classical ML concepts including regression, classification, and anomaly detection. Strong API design and backend integration skills. Prompt engineering and orchestration. Integrating models into production pipelines. Designing and maintaining backend integrations and APIs for AI services. Applying classical machine learning techniques where required. Calsoft is a leading technology-first partner, providing digital and product engineering services. For over 25 years, Calsoft has been helping its customers solve their business challenges using technologies in Storage, virtualization, networking, security, cloud, AI/ML, IoT, and telecommunications domains.