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Varaha, a climate tech venture, seeks an Automation Specialist – Technical Report Writing to build automated reporting for carbon projects. You will develop LLM-based workflows to generate high-quality technical reports and summaries, and deploy end-to-end automation for project documentation.
Responsibilities include integrating model outputs from DNDC and DayCent into reports, ensuring compliance with Verra and Gold Standard, and maintaining scientific rigor through robust data processing and
Job posted on
18/10/2025
Location
Gurugram
Function
Technical Design
Department
Technology
Designation
Executive
Entity
Number of Position(s)
1
Openings Valid Till
31/12/2025
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 business.
Position : Automation Specialist – Technical Report Writing (Agriculture & Climate Tech)
Key Responsibilities:
LLM Development & Automation: Build, fine-tune, and deploy LLMs to generate high-quality technical reports and summaries for agricultural carbon projects.
Model Integration: Create seamless workflows that integrate outputs from scientific models ( DNDC, DayCent ) directly into automated reports, ensuring accurate interpretation.
Compliance & Quality: Ensure all automated reports meet the strict standards of major carbon protocols (Verra, Gold Standard) and maintain scientific rigor.
Preferred Skills : We're looking for a blend of technical skill and domain knowledge. If you're strong in one area and eager to learn the others, we encourage you to apply.
LLM Experience: Proven hands-on experience with Large Language Models for text generation, summarization, or workflow automation.
Coding & Data: Proficiency in Python for data processing, AI/ML development, and workflow automation.
Domain Familiarity: A good understanding of carbon protocols (e.g., Verra) OR experience with process-based models (e.g., DNDC, DayCent )
Education: A degree in Computer Science, Soil/Environmental Science, Agriculture, or a related field