About The Position
Vosyn is a Language Synthesis AI firm focused on reshaping global communication and dissolving language barriers. We are seeking a Master’s level Applied AI Engineer Intern to contribute to our AI intelligence layer. This role involves designing and implementing agentic workflows, building retrieval-augmented generation (RAG) and search integrations, selecting appropriate AI models, and developing evaluation methods to ensure system effectiveness. The intern will be responsible for deploying AI solutions for clients, acting as the technical lead for AI implementation. This internship offers a unique opportunity to work with cutting-edge AI technologies, including agentic coding tools, AI APIs, vector databases, orchestration protocols, and modern app development frameworks. The role requires a deep understanding of how AI models function and the ability to integrate them into real-world applications.
Requirements
- 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 (portfolio, GitHub, or live examples preferred).
- A working understanding of how modern LLMs and reasoning models behave, including context windows and the differences between reasoning and instruction models.
- 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: a desire to measure AI correctness rather than just plausibility.
- Excellent verbal and written communication skills within a cross-functional team environment.
Nice To Haves
- New graduates are encouraged to apply.
- Exceptional talent often emerges from diverse paths.
- Profound curiosity, genuine passion for continuous personal and professional growth, and a strong desire to apply unique abilities to create significant impact.
Responsibilities
- Design, build, and harden agentic workflows that plan and take actions reliably, understanding and addressing potential failure points like context loss and compounding errors.
- Build retrieval (RAG/search) pipelines that fetch relevant client data and ground model outputs, integrating them into core applications.
- Select the most appropriate AI model for each task, considering trade-offs in latency, cost, and quality.
- Engineer effective prompts and context structures tailored to different model classes.
- Develop and implement evaluations for AI features to ensure correctness and reliability.
- Connect AI tools to internal systems and data sources via APIs or MCP to support client use cases.
- Critically review and validate AI-generated code and automated workflows for correctness, security, and safety.
- Collaborate with other team members to deliver complete solutions and document workflows, prompts, and integrations.
Benefits
- Flexibility
- Continuous improvement culture
- Solution-focused strategies
- Opportunity to scale ideas
- Part of a unicorn in the making
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What This Job Offers
Career Level
Intern
