Descripción de la oferta
We are hiring a Senior AI & Data Systems Engineer Biome Makers is a global AgTech on a mission to restore soil health! We are a fun, multicultural and energetic team, composed of industry experts, top scientists, and talented engineers. We preserve the startup mindset of innovation and continue to bring solutions to tackle global challenges. Founded in California’s Silicon Valley in 2015, Biome Makers is setting the standard in soil health with BeCrop® technology. We integrate soil microbiology into agricultural decision-making to optimise farming practices and reverse the degradation of arable soils. With labs across the globe, customers on 4 continents, and 1M+ acres of land impacted, Biome Makers 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 BeCrop portal . Build high-quality, 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., LangChain, LlamaIndex ) and fine-tuning models. Experience with Docker, Kubernetes, and automated deployment pipelines for ML models. Practical experience in database design (SQL/NoSQL) 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 abundance of life forms that breathe, grow, work together, respond to their environment, and perform functions on a community level. Like soil, at Biome Makers, we grow, work together, and perform many functions to support each other and the mission towards soil recovery. As part of our dedication to the diversity of our workforce, Biome Makers is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, colour, religion, sex, national origin, disability, or veteran status. We'd love to hear from you!
