You will join Verso as a Founding Engineer to own systems end-to-end → from infrastructure to product, with no strict boundaries — and help define engineering standards, observability, and the foundations of the team.
You will design and scale a coherent AI system end-to-end, at the intersection of agents, data, and product:
An AI interviewer interacting with users at scale (voice & video), sustaining long-form conversations with high reliability
Agent systems (state, memory, evaluation loops) orchestrating complex interactions
Real-time and async pipelines transforming multimodal data (video, audio, text) into structured, actionable insights
A client platform to explore these insights through an AI-native interface
Data systems to structure, query, and reuse qualitative knowledge at scale
Optimization of latency, cost, and performance across LLM, TTS, STT
Reliability of long-running AI workflows in production

You want to build production-grade AI systems on messy, real-world data — not demos
You’re comfortable owning systems end-to-end, from architecture to production
You have experience with complex systems (real-time, data pipelines, or LLM-based products)
You have strong intuition for trade-offs (latency, cost, quality, reliability)
You’re motivated by building an ambitious, category-defining company with long-term ownership
not just execution.

Meaningful equity: early-stage package with strong upside, aligned with long-term value creation (next fundraise in the coming months).
Hexa environment: operate within a top-tier startup studio, with access to talent, resources, and a strong builder ecosystem.

Founding Fullstack Engineer

Key skills