Vosyn AI Integration & Data Engineer (Vibecoding) - Masters-Level Internship Department: Software Development

Vosyn

Toronto

Hybrid

CAD 36,000 - 52,000

Full time

2 days ago
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Benefits offered by this job

Remote work
Hybrid options in Toronto
Mentorship from senior management
Opportunity for full-time role

Job summary

Vosyn, a Toronto-based Language Synthesis AI company, seeks an AI Integration & Data Engineer Intern. You will own data plumbing, connect client systems, and build pipelines to power AI features.

The role targets Master’s students and emphasizes hands-on data engineering for production-ready integrations. The position involves working with databases, APIs, and SaaS tools, applying security best practices, and collaborating with senior engineers to deliver real-world data solutions.

Qualifications

  • Master's program enrollment or completion required.
  • Strong backend and data fundamentals: Python and Node.js, plus SQL.
  • Experience using AI coding tools as a core part of building.
  • Hands-on data movement between systems via APIs and pipelines.
  • Ability to review AI-generated code for integration logic.
  • Familiarity with databases, APIs, and async requests.
  • Comfort with incomplete, messy, or undocumented data and making sensible assumptions.
  • Awareness of data security and privacy best practices.
  • Excellent communication in cross-functional teams.
  • Open to diverse backgrounds and non-traditional paths.

Responsibilities

  • Connect to client systems (databases, APIs, CRMs, SaaS) to extract and load data.
  • Extract, clean, transform, and move data for AI features and retrieval systems.
  • Build data pipelines feeding RAG and agent systems with current data.
  • Use AI coding tools while applying engineering judgment to complex parts.
  • Handle undocumented schemas, inconsistent formats, and access constraints.
  • Apply data security and privacy best practices throughout integrations.
  • Document integrations and pipelines in Notion for repeatability and maintenance.

Skills

Python
Node.js
SQL
Data pipelines
APIs
AI coding tools
Data security
Communication

Education

Master's degree or in progress in CS/SE/Data Eng

Tools

Cursor
Windsurf
GitHub Copilot
Claude Code
Aider
PostgreSQL
Supabase
Firebase

Job description

Job Openings › AI Integration & Data Engineer (Vibecoding) - Masters-Level Internship

Work location: Remote (with hybrid options in Toronto)

Compensation: Hourly ($32 CAD)

About Us

Vosyn is a Language Synthesis AI company based in Toronto. We build technology that removes language barriers, so people can access and understand information in any language. We are preparing for an IPO, and the people who join us now help shape both the product and the company itself. Good ideas get heard here, whoever they come from.

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.

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
  • 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.

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.

Why Join Us
  • Work inside a start-up as it prepares for an IPO, and see how that actually gets done.
  • Work directly with senior management and members of the advisory board.
  • Build experience you can point to: real projects with real outcomes.
  • Take ownership of work that matters to the company, with the pace and responsibility of a start-up.

Vosyn is an equal-opportunity employer. We hire people from different backgrounds, disciplines, and countries because the work is better for it, and we want every member of the team to feel respected and supported. We take workplace safety seriously, follow the regulations that apply to us, and expect everyone here to look out for one another. If that sounds like a place you would want to work, we encourage you to apply.

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

Recruitment Process
  • 1 Apply
  • 2 1st Interview
  • 3 2nd Interview
  • 4 3rd Interview
  • 5 Group Discovery Session
  • 6 Next Step Form
  • 7 Contract
  • 8 Onboarding

Your placement is an opportunity to contribute at a richly rewarding stage of growth, working directly with senior management and members of the advisory board while gaining an inside view of how a company develops. You will take ownership of work on the company's critical path, building experience you can carry into your next chapter, with priority consideration for full‑time opportunities after your internship. If academic commitments affect your availability, share them with us so we can explore what is possible within your program's placement requirements. Thank you for considering a journey with us. We look forward to learning what you could contribute and what you hope to discover.

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