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Linkup provides a web search API purpose-built to ground AI applications in real-time knowledge. This role sits at the intersection of AI and search, designing signals and evaluations to ensure high-quality results for AI agents and models.
You will gain hands-on experience training and serving retrieval and ranking models, running evaluations, and tuning latency and GPU costs in production. Proficiency with Python and PyTorch is valued for building scalable components.
The work sits directly in the AI era because the product exists to feed live web knowledge to AI agents and models. Much of the craft stays human: choosing signals, designing evaluations, and judging what truly improves search quality. AI tools may speed up experiments, but the decisions about quality and tradeoffs remain with the engineer.
Someone here would gain hands on practice training and serving retrieval and ranking models, running evaluations, and tuning latency and GPU cost. They would also learn how search quality is measured for AI consumers rather than people. Building this experience means working with retrieval and ranking systems in production and getting comfortable with rigorous evaluation methods.
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Linkup provides a web search application programming interface purpose-engineered to ground AI applications and agents with real-time web knowledge.