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AI - LLM Engineer – Agronomist Expert System

Location: Hybrid or Remote

Company: IoT That

Job Type: Full-Time

About Us

We are building a next-generation agronomist expert system powered by large language models (LLMs) and real-world agricultural data. Our mission is to empower farmers and agronomists with intelligent, context-aware recommendations to optimize yield, irrigation, fertilization, and disease detection using AI. We’re looking for an AI Engineer with deep LLM experience who is excited to work at the intersection of machine learning, agriculture, and real-world deployment.

Responsibilities

  • Design and fine-tune large language models (LLMs) tailored to agronomic applications
  • Engineer a conversational expert system that understands and responds to real-world farm management queries
  • Integrate structured agronomy datasets (e.g., weather, soil, satellite) into LLM workflows
  • Develop pipelines for model training, evaluation, and continual fine-tuning
  • Collaborate with agronomists to translate domain knowledge into usable prompts, embeddings, and model objectives
  • Ensure models produce accurate, safe, and useful agronomic recommendations

Requirements

  • 3+ years of experience in machine learning or NLP, with focus on LLMs (GPT, LLaMA, Mistral, etc.)
  • Proficiency in Python, Hugging Face Transformers, LangChain, or similar frameworks
  • Experience with prompt engineering, fine-tuning, or RAG (Retrieval-Augmented Generation) pipelines
  • Understanding of knowledge graphs, embeddings, and contextual memory for dialogue agents
  • Ability to work across product, engineering, and domain expert teams
  • Excellent communication skills and documentation practices

Nice to Have

  • Experience with agricultural or environmental datasets (e.g., NDVI, evapotranspiration, pest detection)
  • Familiarity with sensor data, edge AI, or IoT deployment
  • Background in agronomy, plant science, or environmental modeling
  • Experience deploying LLMs on GPU/TPU infrastructure or optimizing for inference (ONNX, quantization)

What We Offer

  • Competitive salary, equity, and benefits
  • Opportunity to shape the core architecture of a real-world AI product in agtech
  • Access to agronomists, on-farm data, and validation partners
  • A mission-driven team solving high-impact sustainability challenges

How to Apply

Please send your resume, portfolio/GitHub, and a short statement on why this mission excites you to:

info@iot-that.com