Founding AI Engineer @Plato

# Founding AI Engineer @Plato (backed by Hexa)## AboutWe build the future of work: since 2011 we have launched 14 startups, with more in the works. We build businesses from the ground up to invent the tools of tomorrow and inspire new ways of working. Our companies currently employ 500 people across the world... And they all started here: Mailjet, TextMaster, Mention, Front, Aircall, Hivy, Spendesk, Forest, Slite, Station, Upflow.
With $175M in total funding from some of the most prestigious investors in the world (Sequoia, Balderton, Index, Alven, ...), our startups build the future of work.
We have new projects in the making, apply to join the next big thing##

Job Description
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 missionYou’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.ResponsibilitiesBuild 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 featureWork 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 reliabilityMake 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 scaleShape 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## Preferred ExperienceWe'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 us
er impact
* Are autonomous and pragmatic, comfortable navigating early-stage ambiguity and shipping fast### Our tech stackOur 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 product