Founding AI Engineer @Plato (backed by Hexa)
Hexa
Founding AI Engineer @Plato (backed by Hexa) at Hexa is a full time role based in Paris, Île-de-France, France. Listed skills: Plato. It was published on 7 September 2026 and was open at last check.
| Role | Founding AI Engineer @Plato (backed by Hexa) |
|---|---|
| Company | Hexa |
| Location | Paris, Île-de-France, France |
| Employment type | Full Time |
| Skills listed | Plato |
| Published | 7 September 2026 |
| Status | Open at last check |
⚖️ Who are we
Plato is building the AI OS for litigation lawyers.
With AI, the legal industry is on the verge of a major transformation. Litigation lawyers are overwhelmed by complex and repetitive tasks: complex damage calculations, thousands of documents to review, days spent drafting legal documents, and more.
Our mission: Build the leading AI OS for litigation lawyers, enabling professionals to work 5x faster, by putting their whole firm on autopilot.
Plato already supports more than 30 law firms and 1 major insurance company’s legal team, who use our solution daily to manage hundreds of active cases.
Founded in January 2026 by Ben (CEO) and Alexandre (CTO), we are backed by Hexa (formerly eFounders), Europe’s leading startup studio. Hexa has launched over 35 companies, including unicorns such as Front, Aircall, and Spendesk, collectively generating more than €230M in ARR and raising over €750M in funding.
Plato is live with real users, real data and real revenue, solving concrete legal workflows in production. We’re now looking for a Founding AI Engineer to help us turn the latest advances in AI into reliable products used every day by legal professionals.
🎯 Your mission
You’ll work directly with Alexandre , our CTO, at the intersection of AI, software engineering and product.
Your job is not to do AI research for the sake of research. You’ll experiment with models and approaches, understand what works, and turn the best solutions into reliable production systems.
You'll work on problems such as building agentic workflows, making sense complex legal documents, designing autonomous long-running agents, and improving the quality and reliability of AI-generated outputs.
Responsibilities
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
🤩 This role is for you if
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
⚙️ Our tech stack
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.
💎 What we offer
- Build alongside a strong AI expert: Work closely with Alexandre, our CTO, who has deep expertise in AI agents, and turn cutting-edge AI into production systems.
- Ownership & Impact: As the second engineering hire, you'll have real influence on the product and technical direction
- Bring AI to real users: Build production AI systems that solve real problems in a complex, high-stakes domain
- Hexa ecosystem: Access to expertise, resources, and network from one of Europe's leading startup studios
- Competitive package: Attractive salary + meaningful equity
- Paris-based team: Work alongside the founding team in our office
- Growth: Opportunity to grow into a technical leadership role as the team scales
Plato 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 to apply to our open positions.
Create your free OnJob profile to apply — we'll take you to Hexa's application after sign-up. · Posted 7 Sept 2026.
Founding AI Engineer @Plato (backed by Hexa) at Hexa — questions answered
What does the Founding AI Engineer @Plato (backed by Hexa) role at Hexa pay?
Hexa does not publish a salary on this Founding AI Engineer @Plato (backed by Hexa) listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Founding AI Engineer @Plato (backed by Hexa) role at Hexa based?
Hexa lists this Founding AI Engineer @Plato (backed by Hexa) role in Paris, Île-de-France, France, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Hexa before you apply.
What skills does the Founding AI Engineer @Plato (backed by Hexa) role at Hexa require?
The Founding AI Engineer @Plato (backed by Hexa) at Hexa listing names Plato. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
Is the Founding AI Engineer @Plato (backed by Hexa) role at Hexa still open?
The Founding AI Engineer @Plato (backed by Hexa) posting at Hexa was open at OnJob's last check of the employer's careers page, having been published on 7 September 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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