AI Integration & Data Engineer (Vibecoding) - Master-Level Internship
About Us:
At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. We are a trailblazing Language Synthesis AI firm reshaping global communication by dissolving language barriers and empowering users. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, truly aunicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI.
About the Role:
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. You will connect to client databases, APIs, and SaaS systems; extract, clean, transform, and move data so it is usable by AI features; and build the pipelines that feed the agents and retrieval systems your teammates create. More than half the real work of any AI project lives here, and it is the difference between a demo and something that runs in production.
Tools & Tech Stack:
• AI-native IDEs / editors: Cursor, Windsurf, GitHub Copilot; agentic CLI coders (Claude Code, Aider)
• Back-end: Node.js and/or Python
• Databases & BaaS: PostgreSQL, Supabase, Firebase; familiarity with SQL
• Data movement: APIs and webhooks, ETL/data pipelines, data cleaning and transformation
• Integration & automation glue: MCP (Model Context Protocol), Zapier, Make, or n8n where useful
• Version control & documentation: Git / GitHub, Notion
Key Responsibilities:
• Connect to client systems — databases, APIs, CRMs, and other SaaS tools — and get data reliably out of and into them.
• Extract, clean, transform, and move data so it is structured and usable by AI features, including retrieval and agentic workflows.
• Build and maintain data pipelines that feed the Applied AI Engineer’s RAG and agent systems with current, correct data.
• Use AI coding tools to accelerate integration work, while applying real engineering judgment to the bespoke, messy parts those tools handle poorly.
• Handle the practical realities of client data: undocumented schemas, inconsistent formats, partial records, and access constraints.
• Apply data-handling, security, and privacy best practices throughout, especially with client data.
• Collaborate with the Builder and the Applied AI Engineer to ensure data flows cleanly end to end, and document integrations and pipelines in Notion so they are repeatable and maintainable.
About You:
• Currently enrolled or recently graduated from a Master’s program in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field. Master’s program enrollment or completion is mandatory.
• 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) as a core part of how you build.
• 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 rather than accepting it blindly, particularly for integration logic.
• Understanding of databases, APIs, and asynchronous request handling.
• Comfort working with incomplete, messy, or undocumented data and making sensible assumptions.
• Awareness of data security and privacy best practices.
• Excellent verbal and written communication skills within a cross-functional team
environment.
New graduates are encouraged to apply.
We believe exceptional talent often emerges from diverse paths. If you possess a profound curiosity, a genuine passion for continuous personal and professional growth, and a strong desire to apply your unique abilities to create significant impact within our team, we strongly encourage you to apply even if your background doesn’t align perfectly with every single qualification.
At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. We are a trailblazing Language Synthesis AI firm reshaping global communication by dissolving language barriers and empowering users. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, truly aunicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI.
About the Role:
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. You will connect to client databases, APIs, and SaaS systems; extract, clean, transform, and move data so it is usable by AI features; and build the pipelines that feed the agents and retrieval systems your teammates create. More than half the real work of any AI project lives here, and it is the difference between a demo and something that runs in production.
Tools & Tech Stack:
• AI-native IDEs / editors: Cursor, Windsurf, GitHub Copilot; agentic CLI coders (Claude Code, Aider)
• Back-end: Node.js and/or Python
• Databases & BaaS: PostgreSQL, Supabase, Firebase; familiarity with SQL
• Data movement: APIs and webhooks, ETL/data pipelines, data cleaning and transformation
• Integration & automation glue: MCP (Model Context Protocol), Zapier, Make, or n8n where useful
• Version control & documentation: Git / GitHub, Notion
Key Responsibilities:
• Connect to client systems — databases, APIs, CRMs, and other SaaS tools — and get data reliably out of and into them.
• Extract, clean, transform, and move data so it is structured and usable by AI features, including retrieval and agentic workflows.
• Build and maintain data pipelines that feed the Applied AI Engineer’s RAG and agent systems with current, correct data.
• Use AI coding tools to accelerate integration work, while applying real engineering judgment to the bespoke, messy parts those tools handle poorly.
• Handle the practical realities of client data: undocumented schemas, inconsistent formats, partial records, and access constraints.
• Apply data-handling, security, and privacy best practices throughout, especially with client data.
• Collaborate with the Builder and the Applied AI Engineer to ensure data flows cleanly end to end, and document integrations and pipelines in Notion so they are repeatable and maintainable.
About You:
• Currently enrolled or recently graduated from a Master’s program in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field. Master’s program enrollment or completion is mandatory.
• 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) as a core part of how you build.
• 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 rather than accepting it blindly, particularly for integration logic.
• Understanding of databases, APIs, and asynchronous request handling.
• Comfort working with incomplete, messy, or undocumented data and making sensible assumptions.
• Awareness of data security and privacy best practices.
• Excellent verbal and written communication skills within a cross-functional team
environment.
New graduates are encouraged to apply.
We believe exceptional talent often emerges from diverse paths. If you possess a profound curiosity, a genuine passion for continuous personal and professional growth, and a strong desire to apply your unique abilities to create significant impact within our team, we strongly encourage you to apply even if your background doesn’t align perfectly with every single qualification.