Product Applications Engineer
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- designing agent workflows, improving model behaviour, and turning AI capabilities into reliable user experiences. Design systems for reasoning, planning, memory, tool uuse and multi-step execution Integrate LLMs with APIs, databases, search, internal services, and external tools. Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions Debug AI systems across the entire stack—from model behaviour and prompts to orchestration, backend services, and product UX Optimise AI systems for quality, latency, and cost Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions Python Vector databases and retrieval systems Backend services, APIs, and distributed systems PyTorch / JAX Strong software engineering fundamentals with experience building AI-powered applications Ability to write clean, production-quality code AI quality improves through systematic evaluation, experimentation, and iteration Complex AI capabilities are translated into simple, intuitive user experiences
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