Join our client as a Member of Technical Staff - Software Engineering (Platform/Systems), and play a pivotal role in shaping the future of AI-driven scientific discovery.

As a founding engineer, you'll help build the first accurate AI systems designed to replace traditional lab and animal toxicity experiments, pushing the boundaries of what's possible at the intersection of machine learning, biochemistry, and design. This is a rare opportunity to lead the development of scalable, high-performance systems as the company evolves into a world-class enterprise software provider, delivering products capable of securing multimillion-dollar contracts.

Success story

• Lead the company’s transition into a world-class enterprise software company whose products/systems can command multi-million dollar contracts
• Define the foundational systems infrastructure upon which the company’s ML/AI architecture and products are built: data infra, model inference and serving, customer data management
• Evaluate, assess, and own deployments of the latest distribution systems for scaling production workflows: modal, ray, spark, daft
• Work directly with some of the largest enterprises in the world to seamlessly deploy the companies’ systems and products into their cloud - help them achieve success
• Create generalizable APIs which can aggregate internal customer data and integrate with internal tooling at massive enterprises
• Lay the foundational DevOps infrastructure for the companies’ build, test, and deployment systems
• Lead the design and buildout of systems which use and interact with LLM providers, make decisions on open source vs proprietary LLMs
• Direct infosec and product teams in building processes and systems to handle some of the world’s most valuable and sensitive IP, design customer data systems which maximize security
• Do whatever it takes to ensure company passes enterprise security and compliance audits
• Architect the systems for storing and processing many petabytes of novel chemical/biological data with unprecedented speed and efficiency
• Implement novel, efficient algorithms for processing huge volumes of chemical/biological data.

Ideal expertise 

• Created SaaS products which store/process large volumes of customer data
• Experience directly handling the software needs of large enterprise customers
• Strong opinions on the best ways to architect software systems which deploy on enterprise customer clouds
• Worked on and succeed at multiple security and software audits from enterprise customers, has an intuitive sense of what large enterprises expect from software vendors
• Led the security and compliance for early SaaS companies serving large enterprise customers
• Built large scale, efficient data systems which process petabytes of data
• Took ownership of the DevOps infrastructure at an early stage startup, making all other engineers much more productive
• Wrote novel, efficient algorithms for thorny mathematical and data problems 

Key criteria

• Loves working with enterprise customers and building complex enterprise solutions
• Has built systems and software that is used by and deployed at large enterprise businesses
• Knows how to handle very sensitive customer data and designs robust systems for maximizing customer safety
• Great generalist software engineer across cloud systems, DevOps, security, backend, distributed systems, and data storage
• Experience with DevOps: created build systems, worked with all major clouds, wrote Terraform scripts, provisioned compute clusters
• Takes ownership and be obsessed about providing an exceptional customer experience and be ready to handle challenges
• Be curious and passionate about both the science and business
• Matches the cultural phenotype: high ownership and agency, care deeply, be curious, ambitious, practical, unpretentious and collaborative.

If focusing on shipping awesome products to customers excites you, get in contact with julien.funes@aspirelifesciences.co.uk. Explore how this opportunity aligns with your career goals. Apply today.