Founding AI Systems Engineer — Real-Time Consumer Insights

Verso is building the Consumer Intelligence OS.

We replace traditional qualitative research agencies with an AI-native platform that conducts, analyzes, and compounds consumer conversations at scale. Instead of one-off studies, companies get a continuous, structured understanding of their customers .

Our ambition is to make consumer insight a real-time, always-on system embedded in every product and marketing decision.

We’re starting with AI-moderated interviews — but this is just the entry point. The long-term product is a system of record for consumer understanding , powered by agentic workflows.

Backed by Hexa (eFounders), behind Aircall, Front, Spendesk, Yousign and 50+ others.

Verso is founded by an experienced team with a strong track record in strategy, technology, and company building.

Lydia - CEO: HEC graduate, 7 years at BCG (Principal), expert in strategy, innovation, and consumer goods

Camille - CTO: Dual degree X/HEC, former lead at CO2 AI, expert in AI and scalable product development

The role

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

What makes this role unique

• You will build production-grade AI systems , not prototypes
• You will work on long-form, high-stakes interactions , not short prompts
• You will design systems where AI quality is as critical as system reliability
• You will operate at the intersection of AI, data, infrastructure, and product

Current stack

• Frontend: TypeScript, React, Tailwind, shadcn
• Backend: Python, FastAPI, SQLAlchemy
• Infra: Vercel, Railway, Supabase → AWS
• AI: LLM orchestration, STT/TTS pipelines, eval systems (rapidly evolving)

Note: no need to necessarily master Python and Typescript, your coding agents do