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Senior Backend Engineer - AI-Focus @ Pear VC

Remote role Full-time Open position

At Atrix AI, we believe life sciences teams deserve more than just data—they deserve answers.Medical affairs and commercial teams sit on mountains of messy, unstructured information that could impact patient outcomes, if only they could make sense of it. Atrix is helping the world’s most innovative companies in pharma and medtech turn AI into a trusted ally for clinical decision-making.We’re on a mission to make AI-native workflows that are fast, intuitive, and impactful—without compromising on compliance, privacy, elegance, or trust.We're a small, focused team working fast, listening to customers, and shipping quickly. If you love building beautiful products, translating real-world complexity into intuitive UX, and want your code to power decisions that improve lives, you’ll thrive here.The Role DescriptionYou’ll be a core builder of Atrix’s backend infrastructure, powering AI-native workflows that ingest unstructured data, structure it with AI, and deliver insights that matter—instantly and reliably.You’ll work on scalable data pipelines, robust APIs, and real-time inference systems, supporting everything from complex agent workflows to customer-facing dashboards. Whether it’s building retrieval pipelines, optimizing async background workers, or designing clean, secure APIs, your work will be foundational to how our platform works and scales.We're building a modular, agentic platform that connects to customer-approved data sources, transforms unstructured data using LLM-based agents, and delivers decision-ready intelligence to regulated teams.You’ll tackle rich backend engineering challenges like:⚙️ System Design & Reliability – Scale to handle massive amounts of records with fast response times LLM Ops – Make AI outputs explainable, auditable, and efficient Multi-Tenant Infra – Isolate customer data across parallelized pipelines AI Performance Tuning – Optimize inference cost, caching, and latency RAG Pipelines & Contextual Workflows – Connect structured + unstructured data for real-world usageYou’ll work closely with the Engineering Lead and CEO, and collaborate across product, AI, and GTM. As one of our earliest… Apply To This Job

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