Senior Software Engineer, AI Intelligence Platform

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design, document, and lead the architecture for essential platform components.

• Take ownership of intricate initiatives from design and architecture through to development, deployment, and iterations.

• Convert vague product objectives into precise, scalable technical specifications.

• Establish a reliable, high-quality foundation that integrates Aura's data.

• Create secure, privacy-focused access for AI agents to sensitive information.

• Develop systems that transform intelligence into personalized insights and actions.

• Make informed technology decisions that weigh scalability, cost, and operational simplicity.

• Advocate for security, privacy, observability, testing, and operational excellence.

• Mentor engineers on design challenges, performance optimization, and system reliability.

⛳️ Requirements

• 5–8+ years of professional experience in software engineering.

• Proven history of designing and delivering complex, large-scale distributed systems.

• Experience managing systems end-to-end, from architecture to production operations.

• Strong understanding of software design best practices, data structures, algorithms, and the fundamentals of distributed systems.

• Extensive knowledge of cloud technologies and the ability to choose suitable architectures and tools.

• Familiarity with serverless functions, containerized services, relational and NoSQL databases, caches, queues, and data processing pipelines.

• Experience in building systems that handle sensitive or regulated data.

• Outstanding communication and collaboration abilities.

• Willingness and eagerness to learn new technologies and adapt quickly in a rapidly changing AI environment.

• Bachelor's Degree in Computer Science or a related field, or equivalent professional experience.

• Experience in developing AI/LLM-powered systems in production, including agents, retrieval pipelines, evaluations, or LLM observability.

• Background in security, privacy engineering, or trust & safety.

• Experience with large-scale data platforms and data-intensive systems.

• Proficiency with AWS and Infrastructure as Code.

🏝️ Benefits

• Equal employment opportunity and an inclusive workplace.

• Accessible environment and reasonable accommodations during the application process and throughout employment.