Software Student – Full Stack & Agentic AI Infrastructure (Python, React)

We are seeking a talented and motivated Software Student to join our Algorithm Infrastructure team, developing internal applications that empower advanced data management and algorithm research.

What you'll be doing:

• Design and develop full-stack applications (Python/FastAPI backend, React/TypeScript frontend) to support data and algorithm workflows.
• Build and maintain MCP servers that surface internal data, tools, and services to AI coding assistants such as Claude Code — enabling engineers to work faster through context-aware AI tooling.
• Contribute to the team's internal AI plugin marketplace: develop, version, and publish Claude Code skills and agents (PR reviewer, product owner, sprint analyzer, report generators) consumed by engineering teams.
• Implement agentic workflows — multi-step AI pipelines that autonomously gather context, reason over data, and produce structured outputs — using frameworks built in-house and open-source tooling.
• Work with vector stores, semantic embeddings, and code intelligence pipelines (e.g., Tree-sitter AST parsing, 32-language semantic search) to build tools that understand large codebases.
• Build systems that help algorithm engineers manage, analyze, and interact with large-scale datasets, including data upload/indexing services and self-service research platforms.
• Work closely with algorithm teams to understand their needs and translate them into effective tools — including AI-augmented ones.
• Contribute hands-on to both architecture and implementation across microservices, container orchestration (Docker, Kubernetes), and CI/CD pipelines.