Backend + AI Engineer

Reports to

: CTO

About Us

At Neutral Farming, we use Artificial Intelligence to drive profitability and create a positive impact in agriculture.

Our flagship product is an
Agricultural Digital Twin

, an AI engine that virtually recreates real-world fields with up to 95% accuracy.

By simulating and optimizing farming processes, we help our clients improve profitability and transition towards sustainable production.

The Role

We are looking for a hybrid
AI/ML & Backend Engineer

to own the entire lifecycle of our core AI systems.

You won't just build and train models; you will be responsible for designing, building, and maintaining the robust and scalable backend infrastructure that brings our Agricultural Digital Twin to life.

This is a unique opportunity to apply your expertise in systems design and concurrency to deploy cutting-edge AI technology that tackles real-world challenges in farming.

At Neutral Farming we are a team of 7 members across science, engineering and operations and you will be the first engineer leading the AI & Backend team working hand by hand with the CTO.

Key Responsibilities

• Design, build, and maintain the API endpoints and backend services that serve our AI models and power our digital twin platform.
  
  
• Design and develop integrations with irrigation, climate, sensor providers for real-time data processing.
  
  
• Develop, train, and evaluate machine learning models with the purpose of finding hidden issues, identify patterns or potential improvements, in addition to integrate them seamlessly into production systems
• Apply principles of systems design and concurrency to ensure our platform is highly available, fault-tolerant, and can scale to meet growing demand.
  
  
• Work closely with data scientists to transition machine learning models from research and development into a production environment.
  
  
• You write the code and you test it, monitor it and optimize it ensuring high quality deliverables.
  
  
• Monitor, optimize, and troubleshoot our production systems to ensure peak performance and reliability.
  
  
• Stay up-to-date with the latest advancements in AI, MLOps, and backend technologies to continuously improve our product.
  
  

Required Skills & Qualifications

• Bachelor or MSc in a relevant engineering discipline like Computer Science, Software Engineering or Mat.
  
  
• More than 7 years of experience.
  
  
• Proficiency in
  Golang

&
Python.
- Strong understanding of
systems design

, concurrency, and distributed computing principles.
- Experience designing and building RESTful APIs.
- Experience with designing, maintaining and optimizing databases like postgres, bigquery etc
- Knowledge of core machine learning concepts and experience using frameworks like

PyTorch

,

TensorFlow

, or

scikit-learn

.
- Familiarity with containerization tools, particularly
Docker

.
- Experience with cloud platforms such as Google Cloud Platform (

GCP

) or Amazon Web Services (

AWS

).
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Lead projects with proactivity and resolution willing to generate positive impact in agriculture.

Nice to Have

• Experience with geospatial data processing and tools (e.g.,

geopandas

,

QGIS

).
- Knowledge of agricultural science or a genuine interest in the agtech industry.
- Experience with MLOps practices and tools.

What do we Offer

• A chance to work in a highly innovative company with a clear mission: Transform the agriculture sector
• A challenging, dynamic and collaborative working environment
• Take as many vacation days as you need, responsibly.
  
  

If you are a talented engineer who thrives on the challenge of building intelligent, scalable, and impactful systems from end to end, we want to hear from you