AI Development Engineer Intern

📋 Description

• Ship features on either side of the stack — gateway routing, MCP servers, agent workflows
• Build the evals that prove a prompt or retrieval change actually helped, before it reaches users.
• Prototype in days, then add the tests and logging that let it run unattended in production.
• Pull adoption, cost, and quality data, and report what you find — including when it contradicts the
• Talk to the people using what you build, internal or external; their complaints are the roadmap.

🎯 Requirements

• Built something real with LLM APIs: prompting, streaming, tool calling, failure handling.
• Git, tests, and debugging to root cause instead of guessing.
• SQL and enough data sense to spot an outlier skewing an average.
• Nice to have: Agent frameworks or MCP; daily use of coding agents (Claude Code, Cursor).

🎁 Benefits

• Study Growth Fund: We support your professional development and continuous learning.
• Internal Events: Participate in regular team-building activities, workshops, and events designed to
• Global Collaboration: Be part of a diverse, international team, working alongside colleagues from
• Career Advancement: Access opportunities for growth and advancement within a rapidly expanding
• Internal Mobility: Grow with us - Your long-term development is important to us. We offer internal