Lead AI Conversational Data Engineer

Xforia Tech is seeking a Lead AI Conversational Data Engineer. The role focuses on building customer-specific synthetic conversational datasets and scalable data generation, ingestion, and RAG pipelines for conversational AI deployments.

Responsibilities:

• Design and develop high-quality, customer-specific synthetic datasets for voice and chat applications
• Build synthetic conversation transcripts, CCAI training/evaluation dialogues, FAQs, knowledge articles, and customer/agent profiles
• Design, build, and maintain RAG and knowledge ingestion pipelines
• Analyze customer domains, intents, entities, knowledge topics, languages, tone, and edge cases
• Develop reusable and parameterized data generation and ingestion pipelines
• Load and manage data across GCP and AWS services
• Implement document indexing, retrieval, and index refresh processes
• Validate synthetic data quality, realism, diversity, coverage, and privacy compliance
• Collaborate with Conversational Platform Specialists and DevOps teams to support customer deployments

Requirements:

• 15+ Years
• 3+ Years in Conversational AI / Agentic AI / Generative AI
• Strong Data Engineering background
• Hands-on experience with Conversational AI, Agentic AI, or Generative AI
• Experience with synthetic data generation using LLMs
• Knowledge of RAG architecture, knowledge pipelines, document ingestion, indexing, and retrieval
• Understanding of conversational platforms and their training, FAQ, transcript, and knowledge data requirements
• Familiarity with GCP BigQuery, AWS S3, and document stores
• Production experience with LLM-assisted synthetic data generation
• Multilingual synthetic data generation and evaluation
• Experience with CCAI, voice AI, and chatbot implementations
• Strong understanding of data privacy, PII protection, and customer data isolation