Pioneer Talent Program - AI Productivity Engineer

Responsibilities

• Design and develop AI productivity tools for internal engineering teams, such as coding assistants, knowledge retrieval systems, and workflow automation tools
• Build LLM-powered applications for development scenarios, including code generation, code understanding, and test generation capabilities
• Integrate AI capabilities across the full software development lifecycle - from requirements and development to testing and deployment - to improve overall engineering efficiency
• Collaborate closely with engineering teams to identify bottlenecks in development workflows and provide AI-driven optimization solutions
• Explore and implement technical approaches including Prompt Engineering, RAG, and AI Agents

  Continuously track and adopt emerging AI technologies to optimize internal platform capabilities

Requirements

• Bachelor's degree or above in Computer Science or a related field
• Proficient in at least one programming language, such as Python, Java, Go, or JavaScript
• Solid foundation in data structures and algorithms
• Basic understanding of large language models (LLMs) and their practical applications
• Experience using AI tools such as ChatGPT, Copilot, or similar
• Familiarity with backend development or web development fundamentals
• Understanding of API integration and system integration principles
• Strong problem-solving ability, with a proactive, result-oriented work style
• Good communication and collaboration skills

Bonus Points

• Hands-on project experience with Prompt Engineering, RAG, or AI Agents
• Experience building AI tools, developer tools, or internal platforms
• Exposure to DevOps, CI/CD, or engineering automation
• Experience with knowledge systems, search systems, or documentation platforms
• Open-source contributions or an active GitHub portfolio