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Ervin
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Afan
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Data Engineer & Data Scientist

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

Tech Stack

Python • Azure ML • Azure Data Factory • Synapse • Databricks • Langfuse • OpenAI / Azure OpenAI • Terraform • GitHub Actions

What We Offer

  • Competitive compensation based on experience.
  • Flexible hybrid or remote working model.
  • Opportunity to work on AI-driven, real-world products.
  • Supportive and collaborative engineering culture.

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