Staff Backend Engineer - Core AI
Summary
At Anzen, an a16z-backed startup building an AI platform for commercial insurance brokers, this Staff Backend Engineer owns the core ML backend end to end — framing business problems as ML problems, shipping production models, and architecting distributed, real-time inference systems in Python/TypeScript that make insurance underwriters 5-10x more effective.
Responsibilities
- Partner with Design & Product to translate fuzzy broker pain points into concrete, AI capabilities that perform equally or better than human experts.
- Own the full ML lifecycle from framing business problems into research problems, evaluating results and rolling them out with the appropriate infrastructure.
- Architect production‑grade systems that marry real‑time inference with human‑in‑the‑loop review and comply with strict privacy & audit requirements.
- Elevate engineering quality, driving technical roadmaps and championing best practices
- Mentor our Engineering team and help define Engineering culture at Anzen.
What we’re looking for
- 8+ years building data‑intensive or ML‑driven backend systems
- Production mindset: you’ve shipped business critical models with measurable business impact (latency, cost, ROI).
- Broad ML toolbox, from classic ML (especially NLP) to GenAI
- Strong backend fundamentals: distributed systems, streaming data pipelines
- Fluency in Python and/or TypeScript in a production environment.
- Startup DNA: thrive in ambiguity, bias to action.