Founding AI Engineer @Panora (backed by Hexa)
# Founding AI Engineer @Panora (backed by Hexa)* Paris* Full-Time## Job Description
About Panora
Panora is building a suite of AI-powered agents for insurance brokers - a highly regulated and operationally complex industry.
Our ambition is to become the **AI Operating System for brokers in Europe**: automating high-friction workflows while improving compliance, advisory quality, and client relationships.
The product is already live with brokerage firms across France and Belgium, with AI assistants in production (quotation automation, contract comparison, coverage analysis, compliance checks, document generation...).
Panora enables brokers to **save hours every week, reduce analysis time by up to 70%, and focus on what truly matters: advising clients** .
Founded by Diane du Paty (ex-VC, operator) and Fabian Langlet (repeat founder, AI product engineer), Panora is backed by Hexa (Aircall, Spendesk, Front).
We are entering a key phase of **scaling and industrializing our AI platform**.
At Panora, AI is not a feature - it is the **core product layer**, deployed in real-world conditions with strong constraints on **reliability, traceability, and compliance**.### About the Role
We’re looking for a **Founding AI Engineer** to build and scale the intelligence layer of Panora.
This is not a pure research role.
You will operate at the intersection of:
- AI systems (LLMs, agents, RAG)* data pipelines and document processing* product features used daily by customers
You will play a **key role in designing how AI works in production**, not just in theory.
As an early team member, you will have **strong ownership and direct impact on both product and technical direction**.**Responsibilities****AI Systems & Product**
- Design and ship **AI-powered features** (agents, copilots, workflow automation)
- Build **LLM orchestration systems** (prompting, RAG, tool usage)
- Translate product needs into **robust, production-ready AI systems****Data & AI Infrastructure**
- Build and maintain **data pipelines** (ingestion, transformation, enrichment)
- Process and structure **unstructured data** (contracts, emails, insurer documents)
- Implement systems for **evaluation, monitoring, and explainability of AI outputs****Production & Scalability**
- Ship fast: from **prototype → production → iteration**
- Improve **latency, cost, and reliability** of AI systems
- Work under **real-world constraints** (regulated environment, enterprise clients)**Ownership & Engineering Culture**
- Own systems end-to-end: design, build, deploy, monitor
- Contribute to core technical decisions (architecture, tooling, standards)
- Help define how **AI engineering is done at Panora**### Our Technology Stack
Built for **AI-first product development**:* **Languages:** Python (AI/data), Type
Script (backend)* **AI:*
- LLMs, RAG, agent systems, embeddings, evaluation pipelines* **Infra:*
- AWS (serverless & managed services)* **Data:*
- Postgres, vector search, document pipelines* **Integrations:*
- Microsoft 365, CRM, insurer systems
What matters most is your ability to **design robust systems and learn fast**.## Preferred Experience
We’re looking for a **builder who ships** and enjoys working closely with a small, highly collaborative team.
- 3–6+ years experience in startups or product-driven environments
- Strong skills in **Python and/or backend engineering**
- Hands-on experience (or strong interest) in **LLMs / AI systems**
- Comfortable working with **messy, real-world data**
- Product mindset: you care about **impact in production**
- You enjoy **ownership, speed, and ambiguity****Bonus:**
- Experience with RAG, agents, or evaluation systems
- Experience in fintech, insurance, or regulated environments
- Contract Type: **Full-Time**
- Location: **Paris*** **Occasional remote authorized**
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