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Senior R&D Engineer - AI

3 weeks, 6 days ago
Asia, Oceania
Full-time
Senior
AI Engineer
Software Development
Docker Elasticsearch Generative AI Go Java Kafka Kubernetes LLM Microservices MySQL NLP Python Redis
Apply Now
Gate.com

Gate.com

Gate.com offers premium Managed WordPress hosting with top-notch security, management tools, and 24/7 support for small and medium-sized businesses, ensuring an enterprise-grade experience at an affordable price.

IT Services
51-250
Founded 1996
View All Jobs 24

Description

  • Design efficient AI solutions based on AWS Bedrock and Dify to support the company’s product AI needs.
  • Design and implement large-scale AI system architectures with high concurrency, low latency, and high availability.
  • Lead requirement analysis, technical selection, and model development for NLP and generative AI projects.
  • Optimize existing AI systems to improve model accuracy, stability, and response speed.
  • Participate in AI product deployment, monitoring, and day-to-day operations, and resolve production technical issues promptly.
  • Continuously improve AI application features and architecture based on business needs and drive technical innovation.
  • Provide technical guidance to team members and help improve team capability and work efficiency.

Requirements

  • Bachelor’s degree or above in Computer Science, Artificial Intelligence, or a related field.
  • Strong proficiency in at least one backend programming language such as Python, Java, or Go.
  • Understanding of microservices architecture principles.
  • Familiarity with MySQL, Redis, and ElasticSearch storage technologies.
  • Experience with at least one common message queue such as Kafka or RocketMQ.
  • Experience handling PB-level data processing and distributed systems.
  • Familiarity with Kubernetes and Docker.
  • Experience designing and developing high-concurrency, highly available systems.
  • Excellent cross-department communication and teamwork skills, with the ability to drive projects effectively and lead initiatives.
  • Preferred: experience designing and optimizing large-scale AI systems with practical product implementation thinking.
  • Preferred: familiarity with Dify, AWS Bedrock, RAG, GraphRAG, or KAG AI platforms and architectures.
  • Preferred: experience with large language model training, fine-tuning, and optimization, especially with real-world model fine-tuning and deployment scenarios.

Interested in this position?

Apply directly on the company website

Apply Now

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