GenAI Developer

Job Summary We are seeking a highly skilled AI Engineer with expertise in High-Performance Computing (HPC), Apache Spark, Databricks, and Generative AI technologies. The ideal candidate will design, develop, and deploy scalable AI/ML solutions, optimize large-scale data processing pipelines, and build innovative GenAI applications leveraging Large Language Models (LLMs). Key Responsibilities Design and develop AI/ML solutions for large-scale enterprise applications. Build and optimize distributed data processing pipelines using Apache Spark and Databricks. Develop and deploy Generative AI applications using LLMs such as GPT, Llama, Claude, and Mistral. Implement Retrieval-Augmented Generation (RAG) frameworks and vector databases. Utilize High-Performance Computing (HPC) environments to accelerate AI model training and inference. Fine-tune foundation models and optimize model performance for production workloads. Develop scalable data engineering and MLOps pipelines. Collaborate with Data Scientists, Data Engineers, and Business Stakeholders to deliver AI-driven solutions. Monitor, troubleshoot, and optimize AI applications in production environments. Required SkillsAI & Generative AI Generative AI, Large Language Models (LLMs) Prompt Engineering RAG (Retrieval-Augmented Generation) LangChain, LlamaIndex Fine-tuning and Model Evaluation AI Agents and Multi-Agent Systems Data Engineering & Big Data Apache Spark (PySpark) Databricks Delta Lake Data Modeling and ETL/ELT Pipelines SQL and NoSQL Databases Programming Python SQL REST APIs High-Performance Computing HPC Clusters Distributed Computing Parallel Processing GPU Computing (NVIDIA CUDA preferred) Cloud & MLOps Azure / AWS / GCP MLflow Docker Kubernetes CI/CD Pipelines Git