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AI Application Software Engineer

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The role is critical for delivering production-grade AI applications that enhance user experience, automate workflows, and power intelligent user interactions.
Responsibilities
    • Oversee the entire AI bot project from planning, implementation, maintenance and tuning.
    • Design and implement AI agent architectures that can understand user requests, reason through complex problems, and execute multi-step plans
    • Build frameworks for AI agents to interact with various tools, APIs, and services
    • Create mechanisms for effective human-AI collaboration, including clarification, feedback, guidance and follow-up questions
    • Optimize agent performance for reliability, accuracy, and efficiency
    • Build monitoring and evaluation systems to assess agent performance and identify areas for improvement
    • Collaborate with cross-functional teams to integrate agents into products and workflows
    • Stay updated with the latest research and developments in AI agent technology
Requirements
    • Bachelor s or Master s degree in Computer Science, AI, or related field
    • 3+ years of experience building AI/ML systems, with a proven track of building production-grade AI applications (prefer in autonomous agents)
    • Strong programming skills, particularly in Python, Java
    • Practical experience with large language models (e.g., GPT, Claude, Gemini, Deepseek), prompt engineering, MCP, RAG etc.
    • Understanding of reinforcement learning, planning algorithms, and decision-making systems
    • Familiarity with tools, APIs, and infrastructure needed for agent deployment
    • Experience with workflow orchestration and system design
    • Excellent problem-solving and analytical thinking skills
    • Strong communication and collaboration abilities
Preferred Skills
    • Conduct at least one AI chatbot/agent application using Dify / LangChain or similar framework
    • Experience in CS chatbot development, like user intend recognition, conversation, and knowledge base enhancement
    • Familiar with data analysis, model tuning through data cleaning and feature engineering

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