AI & Image Processing Specialist

At Agwa, we build autonomous hydroponic growth cabinets that grow fresh greens anywhere. Each unit is packed with cameras and sensors, connected to the cloud, and guided by our Virtual Agronomist: an AI system that monitors plant health, makes growing decisions and alerts when something goes wrong.

What you'll do:

• Own the Virtual Agronomist's algorithmic core, from architecture and model choice through deployment and field performance

• Analyze complex problems end to end and build a clear work plan and roadmap toward a complete solution.

• Develop and improve CNN-based models (classification, detection, segmentation) that assess plant state from images captured in real-world conditions

• Build the data flywheel with our agronomy team: labeling processes, dataset quality, human-in-the-loop decisions, error tracking and retraining

• Combine imaging with sensor data to detect anomalies and support automated decisions

• Deploy algorithms both in the cloud and locally on edge devices

• Work closely with software, hardware, agronomy and product in a small, multidisciplinary R&D team

• Evaluate where LLMs and VLMs can add real value alongside classic algorithms

What we're looking for:

• B.Sc. in Electrical Engineering, Physics, Computer Science or a related field

• 6+ years of hands-on experience in computer vision and algorithm development

• Proven track record of taking deep learning models (CNNs) from research to production

• Strong background in image processing and classic algorithms

• Creative thinker, able to design complex logic to solve complex, real-world problems

• Experience developing and deploying algorithms in cloud environments, on IoT products

• Experience running algorithms locally on edge devices in a Linux environment

• Experience working on multidisciplinary products combining hardware, software and real-world data

• Strong Python skills and hands-on experience with modern deep learning frameworks

Big advantages:

• M.Sc. or higher

• Background in electro-optics: cameras, sensors, optics and ISP

• Experience with AWS

• Experience with edge inference optimization

Location: Bar Lev Industrial Park (North), 4 days in the office + 1 day from home.

Please send us your CV to: [email protected]