AI Engineer

Job DescriptionWe are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP), AI/ML, and Large Language Models (LLMs) to design, build, and optimize scalable data pipelines and AI-driven solutions. The ideal candidate will work closely with data scientists, ML engineers, and business stakeholders to enable advanced analytics and intelligent applications.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines on GCPBuild and optimize ETL/ELT workflows using tools like Cloud Dataflow, Dataproc, and BigQueryCollaborate with AI/ML teams to deploy and support machine learning models in productionIntegrate and manage LLM-based applications (e.g., prompt engineering, fine-tuning, RAG pipelines)Develop data architectures supporting real-time and batch processingEnsure data quality, governance, and security best practicesOptimize performance and cost of cloud-based data systemsWork with APIs and external data sources for ingestion and processingImplement monitoring, logging, and alerting for data workflowsRequired Skills Strong experience with Google Cloud Platform (GCP) servicesHands-on experience with:BigQueryCloud StorageDataflow / Apache BeamDataproc (Spark/Hadoop)Proficiency in Python and SQLExperience with ETL/ELT pipeline developmentKnowledge of machine learning workflows and model deploymentHands-on experience with LLMs (Large Language Models) such as GPT-based or open-source modelsUnderstanding of:Prompt engineeringRetrieval-Augmented Generation (RAG)Vector databases (e.g., Pinecone, FAISS)Preferred QualificationsExperience with Vertex AI on GCPFamiliarity with Docker, KubernetesExperience in Airflow / Cloud ComposerKnowledge of CI/CD pipelinesExposure to data warehousing and data lake architecturesUnderstanding of MLOps practicesSkills: ml,vertex,cloud communications,gcp,docker,design,cicd pipelines,airflow