Full Stack Engineer at Apoha.com

Job Title: Full Stack Engineer

Company Description: - Seed-funded sensory intelligence startup

Job Description: Join a high-caliber team of scientists and engineers building the Liquid Brain , a programmable physical sensing platform decoding molecular behavior. You will own the software and hardware control stack, designing intuitive interfaces and robust backend services to help global researchers revolutionize material design and life-saving drug development using multidimensional fingerprints.

Location: London, UK

Why this role is remarkable:

• Work at the intersection of deep tech and physical systems, building a "Liquid Brain" platform featured by Scientific American as a discovery that could change everything.
• Join a talent-dense team with pedigree from Apple, Amazon, and Goldman Sachs, backed by top-tier investors including Redalpine, Seedcamp, and Nucleus Capital.
• Shape the technical DNA of a mission-driven company where academic rigor meets startup speed, offering significant ownership over a domain-defining sensing platform.

What you will do:

• Architect and implement major components of the Liquid Brain software stack using Next.js, Django, and Postgres to manage complex multimodal data.
• Build and test automation logic and hardware control workflows hands on with physical devices to ensure seamless integration between software and sensory hardware.
• Collaborate cross functionally with biophysicists and data scientists to translate intricate experimental requirements into high-quality, scalable product features and APIs.

The ideal candidate:

• Proven full stack engineering expertise with a track record of shipping end to end features using modern frameworks like React/Next.js and Python/Django.
• Direct experience building software that interacts with physical systems, such as robotics, lab automation, instrument control, or edge devices.
• Exceptional sense of agency and curiosity, comfortable navigating the ambiguity of a fast paced startup environment to solve complex problems at the hardware software interface.