flask developer for real-time freshness prediction

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.

• Design and maintain scalable ETL pipelines and GCP cloud infrastructure for processing 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 that enhance the core freshness-prediction platform.

• Have 2–8 years of experience in software or data engineering;
• Demonstrate strong mastery of Python for production-grade services;
• Have a proven track record of building and shipping full-stack applications;
• Maintain automated CI/CD pipelines;
• Demonstrate deep curiosity and a desire to solve hard problems;
• Nice to have: startup experience, hands-on experience with LLM agent frameworks.

• Equity;
• High growth potential and ownership in a seed-stage team of under 20 people;
• Direct collaboration with the founders, CEO, and CTO;
• Opportunity to influence the product’s technical evolution.