CVector builds software to bring real-time economic optimization and AI prediction to every energy and manufacturing plant. We fuse live asset data with market dynamics into one decision layer that continuously forecasts, simulates, and optimizes — so plants run closer to their true economic potential every day. CVector recently raised $5M seed, read more on TechCrunch: https://techcrunch.com/2026/01/26/ai-startup-cvector-raises-...
We're looking for a senior backend engineer to evolve our core platform — time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines. You'll take ownership of complex systems, drive major technical migrations, and shape how intelligence is embedded into industrial energy workflows. Think: AI evals and prompt engineering, MQTT ingestion pipelines, time-series schema design, PostgreSQL infrastructure, and ML platform support.
Stack: Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS. 5+ years experience building production backend systems. FinTech, quantitative analysis, or econometrics background is a strong plus.