Founding AI Engineer @Panora (backed by Hexa)
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), TypeScript (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.
We’re Looking For
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
Recruitment process
30min phone screen with Presci (Talent team)
30min interview with Fabian (Hiring Manager)
1h30 technical interview with Fabian through a peer-programming session
30-min interview with Diane (Co-founder & CEO)
Onsite meeting with a member of the Product / Design team and Mat (Partner at Hexa)
Reference checks & offer 🎉
Hexa is committed to creating a diverse environment. All qualified applicants will receive consideration for employment irrespective of gender, origin, identity, background and sexual orientation.
We know there’s a long way to go regarding diversity in our industry, which is why we encourage all applicants- especially those listed above- to apply to our open positions.