[Hiring] AI Integration & Data Engineer @Vosyn

Role Description

We are seeking a capable, detail-driven AI Integration & Data Engineer Intern to own the connective tissue of every project: the data plumbing and the integrations into the systems a client already runs. This role is ideal for a Master’s level student who uses AI coding tools to move fast but has the engineering depth to handle the part those tools are worst at bespoke integration with messy, real-world data.

• Connect to client databases, APIs, and SaaS systems.
• Extract, clean, transform, and move data so it is usable by AI features.
• Build the pipelines that feed the agents and retrieval systems.
• Handle the practical realities of client data: undocumented schemas, inconsistent formats, partial records, and access constraints.
• Collaborate with the Builder and the Applied AI Engineer to ensure data flows cleanly end to end.
• Document integrations and pipelines in Notion for repeatability and maintainability.

Qualifications

• Currently enrolled or recently graduated from a Master’s program in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field.
• Solid back-end and data fundamentals: Python and/or Node.js, plus comfort with SQL and relational databases.
• Demonstrated experience using AI coding tools (Cursor, Copilot, Claude Code, Windsurf, or similar).
• Hands-on experience moving data between systems — working with APIs, building simple pipelines, or cleaning and transforming real datasets.
• Ability to read, evaluate, and improve AI-generated code.
• Understanding of databases, APIs, and asynchronous request handling.
• Comfort working with incomplete, messy, or undocumented data.
• Awareness of data security and privacy best practices.
• Excellent verbal and written communication skills within a cross-functional team environment.

Requirements

• Experience with AI-native IDEs / editors: Cursor, Windsurf, GitHub Copilot.
• Back-end experience with Node.js and/or Python.
• Familiarity with PostgreSQL, Supabase, Firebase, and SQL.
• Experience with APIs and webhooks, ETL/data pipelines, data cleaning and transformation.
• Knowledge of integration & automation tools: MCP, Zapier, Make, or n8n.
• Version control & documentation experience with Git / GitHub, Notion.

Benefits

• Opportunity to work on impactful AI projects.
• Flexible work culture that encourages continuous improvement.
• Potential for growth and learning in a pioneering AI firm.