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# Founding AI Engineer @Plato (backed by Hexa)

- **Company:** Hexa
- **Location:** Paris, France
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Code Optimization, Databases, PostgreSQL, Node.Js, Software Engineering, TypeScript, ReactJS, Backend, Front End Software Development, Terraform
- **Published:** October 29, 2026
- **Apply:** https://www.welcometothejungle.com/en/companies/hexa/jobs/founding-ai-engineer-plato-backed-by-hexa_paris

## About the Role

We're looking for a strong software or AI engineer with 2+ years of experience who wants to build real-world AI products at the forefront of the agentic stack.

You like working close to founders and users, making pragmatic technical decisions, and shipping software that actually runs in production.

You'll thrive in this role if you:

 * Have a strong software engineering foundation, ideally with Typescript and experience shipping production systems
 * Have experience with agents and/or evals and frameworks like Mastra, Eve, Pydantic, Langchain, etc…
 * Can take an AI problem from experimentation to production
 * Enjoy solving problems with no clear solution
 * Have a strong product mindset and care about user impact
 * Are autonomous and pragmatic, comfortable navigating early-stage ambiguity and shipping fast

## Description

Build AI-powered product features

 * Design and ship AI features used directly by lawyers
 * Be at the bleeing edge of the agentic stack: memory, sandboxes, code mode, lots of tools, subagents…
 * Turn prototypes and experiments into production-ready feature

Work with complex data

 * Extract, structure and reason over large volumes of unstructured legal documents
 * Build robust data and document-processing pipelines
 * Experiment with different models and approaches to improve accuracy and reliability

Make AI work in production

 * Evaluate and improve agent outcomes through testing, evals and iteration
 * Optimize systems for quality, latency and cost
 * Build the backend services and infrastructure needed to run AI reliably at scale

Shape the product

 * Work directly with the founders and users to understand real-world problems
 * Move quickly from problem * experiment * production (think days, not weeks)
 * Take ownership of your projects from exploration to deployment, Our stack is designed to support AI-first workflows and production reliability.
 * Backend & Frontend: TypeScript, Node.js, React, tRPC
 * Infrastructure: AWS (Terraform)
 * Data & AI: Mastra, Bedrock
 * Database: Postgres

You don't need to master every tool - what matters is your ability to design robust systems, learn fast, and make sound technical trade-offs.