October 1, 2025 Job Description…
Company: Vegah LLC
Location: Remote
Type: Internship-to-Hire (3–4 months, potential conversion to paid role)
About the Role
Vegah LLC is seeking exceptionally driven AI/ML Research Interns to work on multimodal models and agentic applications. This role is designed for individuals who thrive in fast-moving environments, stay ahead of AI advancements, and can deliver real value with minimal guidance. If you’re looking for a résumé booster, this role is not for you.
Important: Please read the entire JD and understand the requirements clearly. Do not be in a rush or impulsive to apply without understanding the JD, failure of which will only lead to rejection of your submission. You will have 3 rounds / stages as part of screening process and you will be moved from stage to stage accordingly.
Responsibilities
- Build, fine-tune, and evaluate multimodal LLMs (text, image, video, audio).
- Design autonomous AI agents & workflows using LangChain, AutoGen, CrewAI, LlamaIndex, Haystack, etc.
- Implement retrieval-augmented generation (RAG) pipelines with vector databases (Pinecone, Weaviate, FAISS).
- Develop and deploy production-grade APIs (Flask/FastAPI, Docker, GitHub Actions, CI/CD).
- Conduct independent research on cutting-edge models, frameworks, and tools — then apply findings to real-world use cases.
- Join impromptu working sessions and meetings aligned to US CST hours.
Requirements
- Strong foundations in Deep Learning & ML (CNN, RNN, LSTM, Transformers, Attention).
- Hands-on with PyTorch, HuggingFace, LangChain (or similar).
- Exposure to multimodal models (e.g., GPT-4o, Claude, Gemini, LLaVA, Kosmos-2).
- Excellent Python skills (NumPy, Pandas, PySpark).
- Experience with APIs, Flask/FastAPI, Docker, GitHub Actions.
- Familiarity with cloud (AWS/GCP/Azure) is a plus.
- Self-motivated, independent researcher who thrives on solving problems without step-by-step guidance.
- Ability to work US CST hours and be available for ad-hoc meetings.
What We Offer
- Work on cutting-edge AI projects in multimodality & agent-driven systems.
- Mentorship from AI practitioners solving real-world challenges.
- Flexible but CST-aligned hours.
- A chance to publish and showcase work (papers, repos, demos).
- Conversion to paid role / full-time opportunity for outstanding contributors.
Application Process
Please submit:
- Resume / CV
- Cover letter highlighting your independent research, agentic/multimodal work, and motivation
- Links to GitHub, HuggingFace, Kaggle, or publications
- Any hackathon results, certifications, or research outcomes
Important: This role is only for candidates who are passionate about building value for the company and pushing AI boundaries — not those seeking a line item on their CV.
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