AI & Data Systems Engineer

Biome Makers
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish
Experience level
Senior

Job location

Remote

Tech stack

Clean Code Principles
Artificial Intelligence
Amazon Web Services (AWS)
Databases
Data Systems
Data Warehousing
Database Design
Software Design Patterns
Python
Machine Learning
Language Modeling
NoSQL
Open Source Technology
Software Construction
Software Engineering
SQL Databases
Management of Software Versions
Cloud Platform System
Data Ingestion
Large Language Models
Generative AI
Kubernetes
Information Technology
Deployment Automation
Machine Learning Operations
Docker

Job description

has revitalised soil functionality and agricultural sustainability worldwide. As an AI & Data Systems Engineer , you will bridge the gap between complex soil biology and scalable AI solutions. You won't just build models; you will architect the " Intelligence Layer " of Biome Makers, integrating state-of-the-art Generative AI with our proprietary biological database to revolutionize how the world understands soil health. Location: Spain (remote) Duties & Responsibilities: Design and deploy robust AI/ML pipelines, with a specific focus on Generative AI (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex agronomic interpretations. Lead the architectural transition towards a centralized, high-performance data repository, ensuring seamless data ingestion and normalization from heterogeneous global sources. Collaborate with the Product team to develop " Summarized Data Subsets " and interactive dashboard metrics that enhance our Be Crop portal . Build high-quality

Requirements

open-source-ready Python tooling, ensuring reproducibility, containerization, and modern CI/CD/MLOps workflows. Implement rigorous data-versioning strategies aligned with ISO 27001 standards, ensuring IP protection while enabling data enrichment. Mentor the research team in software engineering best practices and lead the adoption of emerging AI technologies (e.g., Vertex AI, AWS Bedrock). Job Competencies & Personal Attributes: MSc. or BSc. in Computer Science, AI, or a related quantitative field (required) 5+ years of professional experience in software engineering, with expert-level Python (clean code, design patterns, testing) (required) Proven experience developing and scaling algorithms in cloud environments ( AWS/GCP ) (required). Hands-on experience with LLM orchestration frameworks (e.g., Lang Chain, Llama Index ) and fine-tuning models. Experience with Docker, Kubernetes, and automated deployment pipelines for ML models. Practical experience in database design (SQL/No SQL) and managing complex Data Warehouses. While biology knowledge is a plus, a strong curiosity for Agriculture and its environmental impact is essential. Fluent in English and Spanish (oral and written), capable of translating technical AI concepts for non-technical stakeholders. Best Perks in the Industry Competitive Salary Remote Work Environment Flexible Scheduling Hours Fridays pms off Coworking Spaces available Competitive & Quick Growth Path Professional Development & Education Opportunities Cross-department Support Biome Makers is an ecosystem. Our team specialises in soil science, agriculture, business, genetics, biotechnology, computer science, and much more. And we are located all over the world! We are a team with different nationalities: Spain, USA, Canada, France, Argentina, and many other countries. We are a team focused on a final goal: To promote sustainable agriculture worldwide! Afterall, soil is alive. It harbours an

About the company

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