[Hiring] Applied AI Engineer @Vosyn

Role Description

We are seeking a sharp, technically deep Applied AI Engineer Intern to own the intelligence layer of what we build. This role is ideal for a Master's level student who does more than use AI coding tools — you understand how modern language and reasoning models actually behave, and you build with them as components. You will:

• Design and ship agentic workflows (systems where a model plans, acts, and re-plans in a loop).
• Build retrieval-augmented generation (RAG) and search integrations that ground AI in real, current data.
• Choose the right model for each job.
• Write the evaluations that prove the system works rather than just appears to.

Qualifications

• Currently enrolled or recently graduated from a Master's program in Computer Science, Software Engineering, AI/ML, Information Systems, or a related field.
• Strong, demonstrable hands-on experience with AI coding assistants and the Claude API or comparable model APIs.
• A working understanding of how modern LLMs and reasoning models behave.
• Practical experience with at least one of: building an agentic workflow, building a RAG/retrieval pipeline, or integrating models via tool calling or MCP.
• Excellent prompt-engineering and context-management skills.
• Coding fluency in JavaScript/React and/or Python sufficient to build, evaluate, and fix AI-generated output.
• An instinct for evaluation: you want to measure whether the AI is actually correct, not just plausible.
• Excellent verbal and written communication skills within a cross-functional team environment.

Requirements

• Design, build, and harden agentic workflows that plan and take actions reliably.
• Build retrieval (RAG/search) pipelines that fetch the right client data and ground model outputs in it.
• Select the right model for each task and justify the trade-off in latency, cost, and quality.
• Engineer prompts and context structures appropriate to the model class.
• Write evaluations for AI features.
• Connect AI tools to internal systems and data sources via APIs or MCP.
• 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.
• Document workflows, prompts, and integrations in Notion.

Benefits

• New graduates are encouraged to apply.
• We believe exceptional talent often emerges from diverse paths.
• If you possess a profound curiosity and a genuine passion for continuous personal and professional growth, we strongly encourage you to apply.