Senior / Staff AI Engineer, Distributed Automation

Job Description

Join Ivector as a Senior / Staff AI Engineer specializing in Distributed Automation, where you will play a critical role in designing and maintaining robust distributed systems that operate at scale. This position demands a deep technical expertise in distributed systems design and cloud infrastructure management, coupled with hands-on experience in developing and automating complex browser automation solutions capable of overcoming anti-bot challenges. The ideal candidate thrives in an environment that values innovative architectural solutions, particularly in concurrency and system performance optimization, without necessarily leading a team. In this role, you will be responsible for delivering production-ready distributed architectures that support seamless automation workflows. Your technical judgment and problem-solving skills will directly influence the scalability and reliability of Ivector's cutting-edge AI systems. You will collaborate closely with cross-functional teams to integrate APIs, tune system performance, and implement robust containerization strategies ensuring fault tolerance and operational excellence. While this role does not include team management, it requires a self-driven approach to lead technical initiatives and mentor peers through expertise and innovation.
Responsibilities
 

• Design, develop, and maintain distributed systems and architectures that support advanced AI-driven automation processes.
• Implement cloud infrastructure solutions ensuring scalability, reliability, and cost-efficiency.
• Build and manage containerized environments using orchestration tools to streamline deployment, scaling, and maintenance.
• Develop and integrate robust APIs to support seamless communication between and within distributed components.
• Create automation frameworks that can withstand complex browser automation challenges, particularly under heavy anti-bot pressure.
• Conduct performance monitoring, tuning, and optimization to maintain system responsiveness and efficiency.
• Apply strong technical judgment to select and implement appropriate concurrency models in automation pipelines.
• Diagnose and resolve architectural and technical issues, promoting a culture of continuous improvement.
• Collaborate with product and engineering teams to align technical solutions with business goals and user needs.
• Document system designs, operational procedures, and architectural decisions to facilitate knowledge sharing.
• Stay current with emerging technologies related to distributed systems, AI, and automation to drive innovation at Ivector.

Job Skills