Senior Full Stack Engineer
The Mission
At PROCERTUS, we're fundamentally changing how teams interact with their data. We are building a cloud-native Business Intelligence platform that lets users explore complex datasets using natural language—seamlessly blending LLMs, semantic search, and interactive data visualization.
What You'll Build
You will own the delivery of core features across our entire stack, tackling the messy intersection of applied AI, big data, and user experience.
- Full-Stack Architecture: You'll build features end-to-end. Expect to architect robust Python backends, design responsive React/Vue frontends, and write highly optimized SQL/PostgreSQL pipelines.
- Applied AI in Production: You'll integrate models while constantly balancing accuracy, latency, and cost. You'll work on production AI systems, tackling challenges like mitigating hallucinations, managing prompt drift, enforcing consistent structured outputs, handling context-window limits, and building intelligent model routers.
- Bringing Data to Life: You'll design the systems that translate raw LLM and SQL outputs into stunning charts, tables, and KPIs. Using libraries like D3, ECharts, Recharts, or Plotly, you'll build interactive drill-downs, dynamic filters, and intuitive aggregations that make complex data instantly understandable.
Who You Are
- A Veteran Builder: You bring 10–15 years of battle-tested engineering experience. You've seen what scales, what breaks, and how to build resilient systems from the ground up.
- Adaptable & Autonomous: You thrive in ambiguity, love the fast feedback loop of a startup environment, and take pride in shipping high-quality code independently.
Why PROCERTUS?
- High Ownership: You'll be a foundational part of a small, fast-moving team where your technical decisions shape the entire platform.
- The AI Frontier: Work on an AI-native product, solving real-world data challenges.
- Direct Impact: Get direct exposure to customers, instantly seeing how your work helps businesses understand their data better.
If you're ready to build the future of data exploration, we want to hear from you.