Research Intern

About Us:

AgriGenAI

What You&aposll Do (Your Mission):

This is not a typical internship. You will be a core member of our R&D team, working directly with the founder to build the brain of AgriGenAI. You will:

• Contribute directly to the architecture and development of our multi-modal RAG (Retrieval-Augmented Generation) pipeline.
• Process and analyze unique, real-world agricultural datasets, including satellite imagery, drone scans, and IoT sensor data.
• Experiment with and fine-tune Large Language and Vision-Language models to solve specific agricultural challenges like pest identification and soil health analysis.
• Help build and deploy our AI services on a modern, cloud-native stack (AWS SageMaker, Bedrock, OpenSearch).
• See your work move from concept to a real-world tool in the hands of farmers.

What We&aposre Looking For (The Ideal Candidate):

• Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, Agriculture or a related field.
• Strong programming skills in Python and hands-on experience with ML frameworks like PyTorch or TensorFlow.
• A solid theoretical understanding of deep learning, neural networks, and ideally, the Transformer architecture.
• A deep curiosity and passion for solving massive, real-world problems. You are driven by impact.
• A self-starter who is comfortable with ambiguity and excited by the challenge of building something from scratch.
• Bonus: Experience with LLMs, computer vision, or cloud platforms like AWS.

Why You Should Join Us:

• Build Something That Matters:

  Your work will directly contribute to global food security and the livelihoods of millions of farmers.

• Work on the Bleeding Edge:

  Get hands-on experience with foundational models, multi-modal AI, and RAG systemsthe most in-demand skills in the AI industry.

• Direct Mentorship:

  Work side-by-side with our founder, who brings 40+ years of ag-tech experience and a deep technical vision.

• True Ownership:

  As part of a small founding team, your ideas will be heard, and your contributions will have a visible and immediate impact on our product.