Lead high-difficulty AI projects, manage quality across multiple projects, and mentor junior data scientists.
About this role
ANDPAD hires a lead engineer for ANDPAD Stellarc, its construction-specific AI project, to take on the industry's hard problems with AI at the front line. Construction data is a complex mix of drawings, schedules, site photos and handwritten notes, and the job is to process it so AI can understand it and to build SaaS products that hold up to site quality standards.
The lead is a technical driver in an uncertain zero-to-one phase, working alongside the business side to find technical answers and raise proof-of-concept ideas into robust, practical products. The role is not about writing code to a specification: it uses technology to widen what the business can do, and aims for AI products that act as dependable partners for craftspeople and site supervisors rather than AI that only works in a lab.
Required are web application and machine learning development in Python or similar, experience building practical applications that embed LLMs such as the OpenAI API or Azure OpenAI Service, comfort with uncertainty where specifications are not fixed, and an outcome focus that puts user value before technical difficulty.
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