data engineer for real-time freshness prediction

Описание

BlakBear is an Imperial College London spin-out building advanced gas sensors and AI that predict food freshness in real time, replacing printed use-by dates across the supply chain.

Задачи

• Design and maintain scalable ETL pipelines and GCP cloud infrastructure for real-time sensor data and AI predictions
• Build and iterate on robust APIs using Python and FastAPI across the full product lifecycle from design to operation
• Collaborate with the CEO and CTO to implement agentic AI tools and full-stack features for the freshness-prediction platform
• Own the back-end infrastructure and data strategy
• Build scalable GCP pipelines, design high-performance APIs, and develop full-stack solutions.

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
• Deep curiosity and desire to solve hard problems
• Nice to have: Startup experience, hands-on LLM agent frameworks.

Условия

• Equity
• London, UK