About this role
Who we are
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 such as complex damage calculations, thousands of documents to review, days spent drafting legal documents, and more. Our mission is to build the leading AI OS for litigation lawyers, enabling professionals to work five times faster by putting their whole firm on autopilot. Plato already supports more than 30 law firms and one 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 of complex legal documents, designing autonomous long-running agents, and improving the quality and reliability of AI-generated outputs.
Responsibilities include:
- Build AI-powered product features and design and ship AI features used directly by lawyers
- Be at the bleeding edge of the agentic stack, including memory, sandboxes, code mode, many tools, subagents
- Turn prototypes and experiments into production-ready features
- Work with complex data, extracting, structuring and reasoning 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
- Evaluate and improve agent outcomes through testing and iteration
- Optimize systems for quality, latency and cost
- Build the backend services and infrastructure needed to run AI reliably at scale
- Work directly with the founders and users to understand real-world problems
- Move quickly from problem to experiment to production (think days, not weeks)
- Take ownership of projects from exploration to deployment
This role is for you if
We’re looking for a strong software or AI engineer with two or more 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 if you have a strong software engineering foundation, ideally with TypeScript and experience shipping production systems; experience with agents and/or evals and frameworks like Mastra, Eve, Pydantic, Langchain, etc.; the ability to take an AI problem from experimentation to production; enjoy solving problems with no clear solution; a strong product mindset and care about user impact; and 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 and frontend: TypeScript, Node.js, React, tRPC. Infrastructure: AWS (Terraform). Data and 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 the CTO, who has deep expertise in AI agents, and turn cutting-edge AI into production systems
- Ownership and 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 and 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.