Software Engineer (AI/Distributed Systems)

TL;DR

Senior Software Engineer (AI/Distributed Systems): Building and optimizing large scale distributed systems for search, recommendation, and AI services and products, enabling innovations in LLM and AIGC. With an accent on simplifying the serving stack and driving relevance innovations with advanced deep learning and large language model techniques. Focus on building an agile, performant, stable, and efficient index serving platform for quick implementation, iteration, qualification, and evaluation of relevance techniques, including deep learning, machine learning, LLM, JavaScript, and C# rankers.

Location: Suzhou, China

Company

hirify.global focuses on providing a search and recommendation platform for internal partners using documentation recall and reranking backend services.

What you will do

• Conduct timely code reviews to ensure standards, security, test coverage, and maintainability.
• Design clear test strategies and architecture proposals that ensure scalability, performance, resiliency, and compliance.
• Drive engineering excellence through automation, secure design principles, and continuous learning.
• Plan and implement secure, efficient deployments with rollback strategies and disaster recovery readiness.
• Ensure reliability and supportability by integrating telemetry, responding to live-site issues, and reducing incidents.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 5+ years industrial experience on an Object-Oriented Language, such as C++, C#, or Java.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 6+ years experience OR Bachelor’s Degree AND 8+ years experience.
• Experience on high-performance computing (e.g., cache/memory optimization, high-performance GPU programming) or distributed systems.
• Capable of quantitatively implementing and qualifying a solution in a distributed environment with a DevOps model.
• Experiences on building Machine Learning/Deep Learning systems.
• Experience on performance analysis and optimization for both CPUs and GPUs, as well as good understanding on software-hardware codesign.