Vosyn
Applied AI Engineer (Agentic Workflows & RAG) - Master-Level Internship
Etobicoke, ON · Intern · Internship
Sponsorship not specifiedDetected 23 days ago
JavaScriptPythonReactNext.jsNode.jsGitPostgreSQLVector DatabasesMachine LearningLLMsRAGCommunication
About the role
- About You: • Currently enrolled or recently graduated from a Master's program in Computer Science, Software Engineering, AI/ML, Information Systems, or a related field.
- We believe exceptional talent often emerges from diverse paths.
Responsibilities
- Design, build, and harden agentic workflows that plan and take actions reliably - and understand why agents fail (context loss, compounding errors, no feedback signal) and how to structure tasks so they succeed.
- Build retrieval (RAG/search) pipelines that fetch the right client data and ground model outputs in it, integrated into core applications rather than demos.
- Review and validate AI-generated code and automated workflows critically for correctness, security, and safety.
- Collaborate with the Builder and the Integration & Data Engineer to deliver complete, working solutions, and document workflows, prompts, and integrations in Notion.
Nice to have
- Claude Code (primary), plus Cursor or Windsurf
- Currently enrolled or recently graduated from a Master's program in Computer Science, Software Engineering, AI/ML, Information Systems, or a related field.
- Master's program enrollment or completion is mandatory.
- Strong, demonstrable hands-on experience with AI coding assistants and the Claude API or comparable model APIs - portfolio, GitHub, or live examples strongly preferred.
- Select the right model for each task - reasoning model vs. fast instruction model - and be able to justify the trade-off in latency, cost, and quality.
- Engineer prompts and context structures appropriate to the model class, including knowing when reasoning models need framing rather than step-by-step hand-holding.
- Write evaluations for AI features, because with non-deterministic models "it worked once" is not evidence that it works.
- Connect AI tools to internal systems and data sources via APIs or MCP to power real client use cases.
Skills
- vector databases (e.g., pgvector, Pinecone, Weaviate), embeddings, semantic and hybrid search
- MCP (Model Context Protocol), function/tool calling, agent frameworks
Company info
- 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 a unicorn in the making.
- We invite you to be part of our journey and leave your imprint on the future of AI.
- We are seeking a sharp, technically deep Applied AI Engineer Intern to own the intelligence layer of what we build.
This listing is sourced directly from Vosyn's careers page and normalized into a canonical job model.