Kerja Sepenuh Masa, Senior Algorithm Engineer di Traveloka - Maukerja

Job Description

Job ID: MJ000208

We are building a brand-new, high-impact AI and algorithm team within our core business units. As a Senior Algorithm Engineer, you will lead the design and implementation of next-generation generative AI capabilities, focusing on core areas such as intelligent customer service chatbots, translation agents, and travel-related conversational assistants.

This is a highly autonomous and impactful role. You will not only participate in the definition and development of AI products from scratch, but also directly drive their large-scale application in real-world business scenarios. Your work will directly impact the service experience, problem-solving efficiency, conversion rates, and operating costs for millions of users.

Key Responsibilities

• Responsible for the design, development, and continuous optimization of intelligent customer service chatbot and AI agent systems, covering key scenarios such as pre-sales consultation, itinerary inquiries, order support, after-sales service, and multilingual translation.
• Build agent architectures for complex business processes, including task planning, tool invocation, memory management, retrieval enhancement, workflow orchestration, multi-turn dialogue management, and anomaly recovery.
• Design and optimize natural language understanding and generation capabilities for travel and customer service scenarios, including user intent recognition, context modeling, knowledge-based question answering, response generation, and multilingual interactive experiences.
• Drive the deployment of large-scale models in vertical businesses, exploring methods such as Prompt Engineering, RAG, SFT, and preference optimization to continuously improve answer quality, task completion rate, and user satisfaction.
• Establish an evaluation system for intelligent customer service and agents, including offline assessment, automated evaluation, manual quality inspection, online A/B testing, and continuous iteration mechanisms.
• Collaborate closely with product, engineering, data, and operations teams to promote deep integration of AI capabilities with business systems, ensuring that solutions offer high availability, low latency, scalability, and cost-effective production-grade performance.
• Monitor key performance indicators (KPIs) of agents in real-world scenarios, including problem resolution rate, human agent referral rate, first-response latency, average processing time, satisfaction, cost, and stability, and continuously optimize these metrics.
  
  

Job Requirements

• 5+ years of experience in algorithm engineering, machine learning, NLP, or related fields, with successful experience deploying AI or machine learning systems in large-scale production environments.
• Possesses strong practical experience in generative AI/LLM applications, and is familiar with the core technologies and implementation challenges of intelligent customer service, question-answering systems, dialogue systems, or agent-type products.
• Proficient in Python and familiar with mainstream machine learning/deep learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.
• Familiar with the key technology stack for large-scale model applications, including prompt design, RAG, vector retrieval, model fine-tuning, inference optimization, tool usage, and multi-turn dialogue management.
• Possesses solid engineering capabilities, capable of independently driving the entire closed loop from data analysis, modeling experiments, performance evaluation to online deployment and iterative optimization.
• Possesses excellent business understanding and cross-team collaboration skills, capable of transforming complex AI capabilities into stable, measurable, and sustainably optimizable business results.
• Bachelor's degree or above, with preference given to candidates with a background in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or related quantitative fields.
  
  

Bonus Points

• Experience with customer service chatbots, enterprise knowledge assistants, translation agents, task-oriented dialogue systems, or AI copilots.
• Experience with multilingual models, cross-language retrieval, machine translation, or internationalization products, especially in complex travel or service scenarios.
• Familiarity with LangGraph, LangChain, OpenAI/Anthropic/open-source large model ecosystems, or experience in building agent workflows.
• Experience in model evaluation, AI security, visual governance, policy control, human-machine collaboration, and the design of mechanisms for transferring data to human intervention.
• Familiarity with vector databases, retrieval systems, Elasticsearch, Milvus, Redis, and other related infrastructure.
• Experience in OTA, travel, e-commerce, or high-concurrency online service scenarios is preferred.
• Experience in search, recommendation, or ranking is a plus, but not mandatory.