Job Description

Role: AI Engineer Intern (PPO Opportunity)

Function: Artificial Intelligence → ML Engineering → Prompt Engineering

Location: Bangalore (Work from Office)

Experience: Internship (6 months - 1 year) with PPO Offer

About Varaha

Varaha is a leading climate tech venture focused on nature-based solutions such as regenerative agriculture, ARR, and biochar projects that support smallholder land stewards at scale. In our second year of operation we are removing and avoiding more than 1 Million tons of CO2 and distributing the majority of the revenues to more than 100,000 smallholder land stewards in South Asia and Sub-Saharan Africa. Our in-house best in class MRV technology includes a bio-geo-chemical model for soil carbon, remote sensing and machine learning and uses soil samples for calibration. Backed by leading global investors, our founding and management team comes with a stellar track record of successfully scaling projects and products to millions of smallholder land stewards at leading agri- and tech businesses.

Role Overview

We are seeking a highly motivated AI and Prompt Engineer Intern to join our team at Varaha.Earth. This role offers the opportunity to work on cutting-edge AI solutions for climate and sustainability. You will experiment with multiple AI models, design scalable systems, and contribute to building robust and production-ready applications. A strong foundation in computer science fundamentals, expertise in Python, and knowledge of machine learning concepts are key for success in this role.

The internship comes with a Pre-Placement Offer (PPO) for outstanding performance.

Responsibilities

• Design, test, and experiment with large AI and ML models for diverse use cases.
• Develop advanced prompt engineering strategies for optimising the performance of Large Language Models (LLMs).
• Build automated testing pipelines for AI systems to ensure robustness and scalability in production.
• Implement ground-truthing methodologies to ensure model outputs are accurate and reliable.
• Create and deploy scalable, production-ready AI applications tailored to the company's sustainability goals.
• Collaborate with cross-functional teams, including data scientists, product managers, and engineers, to drive project success.
• Stay updated with the latest advancements in AI, LLMOps, and generative AI technologies.