We’re building the next generation of AI-powered SaaS platforms — transforming enterprise meeting and decision systems with real-time insights, voice intelligence, and AI-driven briefings.
Our solution combines multi-tenant SaaS architecture with advanced LLM integrations and Langfuse observability, serving global enterprise clients.
To scale our Data & AI team, we’re hiring two core roles that will help us shape the foundation of our intelligent platform: Data Scientist and Data Engineer
Location: Hybrid
Company: Technoperia
Engagement: Full-time (Immediate Start)
Data Scientist — AI Insights & Evaluation
You’ll:
Build and evaluate LLM-based models for summarization, insight extraction, and classification
Design prompt evaluation pipelines using Langfuse for quality scoring and tracing
Collaborate with engineers to productionize AI models and optimize performance
Work on voice analytics, AI chat logic, and IntelliBrief summarization models
You bring:
Experience with Python, PyTorch, Hugging Face, Langfuse, Azure ML
Solid grasp of LLM evaluation, prompt engineering, and embeddings
Curiosity for how AI can shape business decisions
Data Engineer — LLM Pipelines & Azure Data Stack
You’ll:
Build scalable ETL pipelines to serve AI insights and real-time data flows
Design and maintain Azure Data Lake / Synapse / Databricks systems
Connect AI pipelines to backend services and Langfuse observability
Ensure data reliability, isolation, and governance in a multi-tenant setup
You bring:
Proficiency in Python, SQL, Azure Data Factory, Databricks, Synapse
Understanding of ETL / ELT, data APIs, and streaming
Experience with multi-tenant SaaS or analytics platforms