data engineer food freshness
Summary
BlakBear is seeking a data engineer to design and maintain scalable ETL pipelines and GCP infrastructure for real-time food freshness sensor data. The role involves building robust APIs with Python and FastAPI while collaborating on agentic AI tools to reduce global food waste.
Описание
BlakBear is an Imperial College London spin-out building advanced gas sensors and AI that predict food freshness in real-time, replacing archaic use-by dates across the supply chain.
Задачи
- Design and maintain scalable ETL pipelines and GCP cloud infrastructure to process real-time sensor data and AI predictions;
- Build and iterate on robust APIs using Python and FastAPI, managing the full product lifecycle from design to operation;
- Collaborate with the CEO and CTO to implement agentic AI tools and full-stack features that enhance the core freshness-prediction platform.
Требования
- 2–8 Years of experience in software or data engineering;
- Strong mastery of Python for production-grade services;
- Proven track record of building and shipping full-stack applications;
- Experience maintaining automated CI/CD pipelines;
- Nice to have: Experience in startup environments, hands-on LLM agent frameworks, deep curiosity, and a desire to solve hard problems.
Условия
- High-impact mission focused on eliminating 1/3 of global food waste;
- Enterprise contracts across Europe and North America;
- Significant growth potential and ownership in a seed-stage team of under 20 people.