Job Title : AI/ML Engineer

Location : Bengaluru, India

About Organization :

We are a fast-paced Agritech startup working on IoT, machine learning-based risk mitigation solutions for agriculture. Using real-time farm data coming from IoT device, we help farmers take on-farm decisions in irrigation, sprays for disease, pests and fertigation.

We are focused on horticulture crops and working on increasing production quality and quantity at a lower cost of cultivation.

About the Role :

We are seeking highly skilled and motivated AI/ML engineers to join our engineering . The ideal candidate will have a strong background in Artificial Intelligence, Machine Learning, and backend AI systems. You will be responsible for transforming complex agricultural data into actionable insights, leading innovative projects, and driving data-driven success within our organization.

Key Responsibilities :

- Design, develop, and deploy production-grade ML and backend AI systems at scale

- Build and maintain clean, efficient AI service architecture using Python and FastAPI

- Develop and optimize Large Language Model (LLM) based applications and pipelines using LangChain or equivalent frameworks

- Build and fine-tune computer vision models using YOLO, PyTorch, or related deep learning frameworks

- Work on geospatial data processing and analysis using tools such as Rasterio and Google Earth Engine (GEE)

- Develop multilingual AI assistant capabilities to serve diverse user bases including regional language speakers

- Build and improve weather forecasting models and data pipelines

- Implement image analysis solutions for real-world agricultural and environmental use cases

- Collaborate with cross-functional teams including product, data, and engineering to deliver end-to-end AI solutions

- Ensure reliability, scalability, and performance of AI systems in production environments

- Contribute to research, experimentation, and continuous improvement of AI models and pipelines

- Write clean, well-documented, and maintainable code following best engineering practices

Requirements :

- 4+ years of experience in production ML or backend AI systems

- Strong proficiency in Python with hands-on experience in FastAPI and clean service design

- Hands-on experience with at least one of the following : LLMs/LangChain, YOLO/PyTorch, or geospatial tools (Rasterio, GEE)

- Experience working in fast-paced, problem-solving environments with real-world AI deployment challenges

Soft Skills :

- Excellent problem-solving skills and analytical thinking.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Ability to work independently and as part of a collaborative team.

- Passion for continuous learning and staying updated with the latest advancements in AI and machine learning.