Senior Software Engineer, AI Intelligence Platform

🔥 16 hours ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Logo of Aura

Aura

501 - 1000 employees

☁️ SaaS

🛍️ eCommerce

👥 B2C

SaaS • eCommerce • B2C

Aura is a leading bio link tool provider, known for its platform Linktree which allows users to unify all their social media links and online presence into a single bio link. With over 50 million users, including creators, influencers, and small businesses, Aura's Linktree helps users efficiently share and monetize their content across various social media platforms like Instagram, TikTok, and Twitter. The platform provides extensive analytics to track audience engagement and optimize link performance. Aura empowers users by offering customizable features, payment integration, and the ability to drive offline traffic online using QR codes, making it a versatile and crucial tool for digital creators and businesses.

📋 Description

• Design, document, and drive architecture for key platform components • Own complex initiatives from design and architecture through development, deployment, and iteration • Translate ambiguous product goals into clear, scalable technical requirements • Build a trusted, high-quality foundation unifying Aura's data • Architect secure, privacy-preserving access for AI agents to sensitive data • Build systems that turn intelligence into personalized insights and actions • Make technology choices balancing scalability, cost, and operational simplicity • Champion security, privacy, observability, testing, and operational excellence • Mentor engineers on design challenges, performance tuning, and system reliability

🎯 Requirements

• 5–8+ years of professional software engineering experience • Track record of designing and shipping complex, large-scale distributed systems • Experience owning systems end-to-end, from architecture through production operation • Strong knowledge of software design best practices, data structures, algorithms, and distributed-systems fundamentals • In-depth knowledge of cloud technology and selecting appropriate architectures and tools • Experience with serverless functions, containerized services, relational and NoSQL databases, caches, queues, and data-processing pipelines • Experience building systems handling sensitive or regulated data • Exceptional communication and collaboration skills • Ability and desire to learn new technologies and move quickly in a fast-evolving AI landscape • Bachelor's Degree in Computer Science or a related field, or equivalent work experience • Experience building AI/LLM-powered systems in production, such as agents, retrieval pipelines, evaluation, or LLM observability • Background in security, privacy engineering, or trust & safety • Experience with large-scale data platforms and data-intensive systems • Experience with AWS and Infrastructure as Code

🏖️ Benefits

• Equal employment opportunity and inclusive workplace • Accessible environment and reasonable accommodation during the application process and employment

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