Data Backend Developer

Job Description

About the Company
Seed-X is an agriculture technology startup poised to disrupt the seed industry using the power of Computer Vision and Machine Learning. We’ve developed the Genee Sorter, a groundbreaking seed sorting machine that enables seed companies to analyze and sort seeds individually. Our technology ensures precision in seed quality, safety, and cost-effectiveness throughout the seed and grain value chains.

About the Position
As a Data Backend Developer, you will serve as a tech lead and a significant contributor to our product development efforts. You will set technological standards, make architectural choices, and influence product definitions and the development roadmap. This is a core team position.

Typical Day at Seed-X
You will experiment with technologies and tools daily to deepen your knowledge. You will implement features that grow and refine the product vision while discovering better ways to execute tasks. Our CI/CD workflow will ship your code directly to production. You will maintain open channels with every stakeholder to help you achieve your tasks and responsibilities. We value creativity and are looking for innovative thinkers.

Responsibilities

• Lead end-to-end development of Seed-X products and features from specification to client delivery.
• Adapt, implement, and integrate AI algorithms and solutions from POC to production.
• Integrate with diverse systems, including big data pipelines, distributed systems, and edge devices created by Seed-X and its vendors.
• Own microservices from end to end.
• Maintain and develop our Data Tagging and Biological Experiments Management tools and systems.
• Analyze and enhance the precision, scale, and stability of Seed-X products, environments, and tools.
• Continuously learn and evaluate new technologies to discover and evolve better solutions and infrastructure.
• Enjoy the autonomy to choose the right tools for the job.

Requirements

• 5+ years of software development experience for a SaaS company.

• 5+ years of experience in machine learning and computer vision engineering, with a focus on image and video processing.
• 3+ years of experience with server-side programming languages such as Python, Node.js, or Go.
• Experience working with databases (SQL/noSQL, BigQuery).
• Familiarity with data pipelines for batch and stream data processing (ETL processes).
• Knowledge of machine learning product development and deep learning/machine learning frameworks (e.g., PyTorch).
• Experience with cloud-based infrastructure (AWS).
• System architecture and design skills for distributed microservices-based systems.
• Experience in building production APIs.
• Familiarity with software engineering best practices (unit testing, code reviews, design documents, modularity).
• B.Sc. in Computer Science/Engineering or equivalent industry experience.

Desirables

• Operational excellence mindset and/or DevOps experience—strong advantage.
• Experience implementing stream processors (e.g., Kafka)—strong advantage.
• Optional experience with server-side frameworks such as Django or FastAPI.