Full Stack Engineer - Python/React.js

Description :

We're looking for an exceptional Software Engineer (Full-Stack) to help architect and scale the systems that power GEO from high-throughput backend infrastructure to intuitive front-end analytics experiences. You'll design distributed services that process large-scale simulation reinforcement learning experiments, build APIs for large-scale data-centric workflows, and craft beautiful, data-rich interfaces that make complex model behaviors interpretable. This is a highly cross-functional role working alongside ML engineers, researchers, and product designers to transform cutting-edge research into production-grade systems.

Responsibilities :

Backend and Platform :

- Optimise compute, storage, and inference workflows for large-scale simulation reinforcement learning experiments.

- Architect and build distributed systems that power the company's GEO engine and data pipelines.

- Develop APIs and services that connect retrieval, ranking, and evaluation layers.

- Implement observability, monitoring, and CI/CD tooling for reliability and scalability.

Frontend and UX :

- Build intuitive dashboards and tools that visualise GEO metrics, LLM behaviours, and visibility analytics.

- Collaborate with design and ML teams to develop real-time visualisations for telemetry, ranking performance, and search simulation results.

- Implement responsive, high-performance interfaces using React, TypeScript, and Next.js.

- Maintain a consistent design system that communicates complex data clearly and beautifully.

Requirements :

- 3+ years of experience in software engineering (backend, frontend, or full-stack).

- Proficiency in Python, Go, or Node.js for backend development.

- Strong experience with React, TypeScript, or Next.js on the frontend.

- Familiarity with distributed systems and cloud platforms (AWS, GCP) and orchestration tools (Docker, Kubernetes).

- Strong understanding of databases (PostgreSQL, Redis) and data pipelines (Kafka, Airflow, etc.).

- Comfort working across the stack and collaborating closely with ML and product teams.

Preferred :

- Experience with data visualisation libraries (e.g., D3.js, Plotly, or Recharts).

- Familiarity with LLM or ML product interfaces, experiment dashboards, or model evaluation UIs.

- Background in building SaaS or analytics products for data-intensive domains.

- Passion for elegant design and communicating complex systems visually.