D'SIAR TECH hiring AI Engineer

The ideal candidate will have strong expertise in data engineering, NLP, and modern AI architectures, along with hands-on experience in building data pipelines and deploying LLM-based solutions. Key Responsibilities Design, architect, and deploy AI models to support business use cases Develop and implement data-intensive solutions and scalable AI pipelines Build and maintain ETL workflows and automated data ingestion pipelines (AWS preferred) Design and manage data pipelines for LLM-based systems Perform data cleaning, transformation, and processing for structured, semi-structured, and unstructured datasets Prepare and profile datasets for AI applications, identifying data gaps and quality issues Implement NLP processing techniques including parsing, chunking, splitting, and tokenization Work with vector databases and embeddings for AI-powered retrieval systems Integrate graph databases where applicable for relationship-based modeling Containerize and deploy solutions using Docker and Kubernetes Collaborate with cross-functional teams to ensure robust AI solution implementation Required Skills & Experience 5–10 years of experience in AI/Data Engineering roles Strong proficiency in Python, SQL, and PostgreSQL Hands-on experience with ETL frameworks and data pipeline development Experience working with AWS data services (e.g., S3, Glue, Lambda, Redshift, etc.) Strong understanding of LLM data pipelines and AI data preparation workflows Experience in NLP processing techniques Strong knowledge of vector databases and embedding models Experience working with graph databases Familiarity with Docker and Kubernetes Strong analytical and problem-solving skills Preferred Qualifications Experience deploying AI/ML models in production environments Understanding of scalable cloud-native architecture Exposure to enterprise-level AI implementations Why Join?