AI Engineering Intern

At Motion G, we are building an AI-native platform that revolutionizes collaboration between professionals and Virtual Experts (VEs). Our mission is to leverage cutting-edge AI to address real business challenges, enhance productivity, and shape the future of work.

You Will:

• Build, evaluate, and fine-tune AI agents powered by large language models (LLMs)
• Work on prompt engineering, retrieval-augmented generation (RAG), embeddings, and multi-step agent reasoning
• Develop and test pipelines for knowledge ingestion, text chunking, vector storage, and retrieval
• Integrate external tools and APIs into agent workflows for real-time decision-making
• Contribute to backend services (Python/FastAPI) supporting AI workflows and model orchestration
• Benchmark performance and accuracy of AI outputs across various use cases (NLP-heavy, decision-heavy, etc.)
• Collaborate with engineers and product managers to turn ideas into functioning prototypes — fast

You Are:

• Currently pursuing a degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
• Familiar with LLM APIs (e.g., OpenAI, Claude, Gemini) and frameworks like LangChain or LlamaIndex.
• Has actively explored tools such as TensorFlow, PyTorch or any other AI/ML framework
• Familiar with data preprocessing, feature engineering, and model evaluation techniques.
• Have worked on or studied topics like NLP, RAG, or multi-agent systems through courses or projects
• Driven by a builder mindset - you enjoy creating, experimenting and turning ideas into working solutions
• Solid understanding of machine learning algorithms, data structures, and problem-solving principles.
• Curious, analytical, and always eager to push the boundaries of what AI can do