Senior Software Engineer (Python/TypeScript)
Lithosquare
| Company | Lithosquare |
| Category | Engineering |
| Location | Paris |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 1 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT THE COMPANY
The transition to a sustainable future requires discovering new mineral resources to power clean technologies and renewable energy solutions. From lithium for electric vehicle batteries, to copper for wind turbines, and rare earth elements for electronics - these minerals are the building blocks of our energy transition.
Lithosquare radically speeds up mineral exploration by combining foundational AI, geological expertise, and real-world data — to reduce uncertainty, prioritize the right targets, reduce costs and accelerate discovery.
Based in Paris, Lithosquare gathered an exceptional team of geologists, scientists, AI engineers, and data specialists to work as one — from field sampling to model optimization — and push the boundaries of what’s possible.
ABOUT THE JOB
The primary role of the Senior Software Engineer (Python/TypeScript) is to design, build, and maintain both the client-side interfaces and server-side architecture powering our Geology OS. This role plays a critical part in delivering robust, high-performance, and scalable end-to-end solutions that combine agentic AI, cartography, 3D modeling, and automated report generation to support complex exploration workloads.
The ideal candidate will have strong programming skills, deep experience with both back-end (python) and front-end (React) frameworks, cloud platforms, and a solid understanding of modern full-stack architectures — as well as hands-on experience with AI systems, including LLMs and agentic approaches.
The role is based in Paris with a flexible remote working policy.
WHAT YOU’LL DO
- Architect the Geology OS: design, implement, and maintain full-stack components and services, ensuring they are scalable, secure, and highly available to power our core platform;
- Build advanced interfaces: develop high-quality, responsive user interfaces (React), integrating cartography, 3D modeling, and interactive data visualizations for an optimal user experience;
- Engineer robust back-end APIs: develop APIs and back-end services (Python) that integrate seamlessly with the front-end application and third-party platforms;
- Integrate agentic AI: collaborate with AI engineers and scientists to deploy agentic AI systems directly into the Geology OS enabling sophisticated features such as contextual chat with documents and maps, AI-driven 3D model generation, and automated technical report generation;
- Cross-functional collaboration: partner with various profiles (AI engineers, back-end engineers, forward deployed engineers, geology experts) to deliver end-to-end features, from database to UI;
- Lead technical design: take part in architectural decisions for both front-end and back-end systems, ensuring they align with a modern, AI-driven system architecture;
- Code excellence: write clean, maintainable, and well-documented code for both client and server-side applications;
- Production ownership: deploy and operate full-stack services in production while monitoring their performance and reliability in a high-stakes exploration environment.
TECHNICAL STACK
- Languages: Python (expert level), JavaScript / TypeScript, Bash
- Back-End Frameworks: Django / FastAPI and relational database (Postgres)
- Front-End Frameworks: React / NextJS / Vite
- Full-Stack Development: Micro-service architecture, RESTful API design, state management
- Infrastructure & Automation: Terraform; GitHub Actions, FluxCD
- Containerization & Orchestration: Docker; Kubernetes; Helm
- Event-Driven & Workflow Orchestration: Temporal.io, Airflow
WHAT WE ARE LOOKING FOR
- 5+ years of hands-on experience in full-stack development, with a strong track record of building robust, maintainable, and scalable end-to-end systems;
- Deep expertise in Python and React development;
- Strong understanding of Kubernetes and containerized environments;
- AI Implementation: proficiency in applied AI, specifically building agentic