
Search by job, company or skills
Sea Group is establishing a brand-new, strategic AI department. This department is dedicated to exploring the transformative potential of generative AI in revolutionizing human connection, self-expression and communication diversity, and social interaction. We are building the next generation of AI-native applications and a comprehensive Model-as-a-Service (MaaS) product support system. Based on massive multi-country data, we are building a leading multilingual AI ecosystem from the ground up. We look forward to more outstanding talents joining us to build leading Southeast Asian multilingual models and explore innovative AI-native applications.
The AI application team focuses on the intersection of social connectivity and artificial intelligence. Our mission is to leverage LLMs to create digital personas that can act as personal assistants and social bridges. This team operates with a startup's agility backed by our Group's robust resources, aiming to define how humans interact in the AI era.
Job Description:
Agentic Workflow: Design and implement core Agent architectures, including task planning, state tracking, and multi-turn conversation management.
Agentic RAG: Architect advanced RAG systems supporting hybrid search (BM25 + Embedding) and LLM-driven proactive retrieval.
Memory & Tools: Develop long/short-term memory systems and tool-call/plugin dispatching (ADK framework integration).
Multi-modal LLM: Optimize and expand AI interactions to improve intent and parsing accuracy.
End-to-End Delivery: Optimize intent recognition accuracy, task completion rates, and system latency for production-grade Agents.
Requirements:
Master's in computer science, Engineering, natural language processing, Mathematics, or a related field
At least 5 Years of full time working experience in Machine learning, or algorithm engineering.
At least 2 Years of full time experience with RAG and AI agents.
Deep understanding of Agent frameworks (LangChain, LlamaIndex, ADK).
Experience in vector retrieval, and Reranker model optimization.
Proficiency in Prompt Engineering and managing LLM capability boundaries.
Kindly note that you can only be considered for one role at a time with any of the companies within our Group. If you have applied for other jobs with the Group, you will be considered for roles in the order of your application
Job ID: 151451295
Skills:
Machine Learning, LangChain, Algorithm engineering, RAG systems, Agent frameworks, ADK, Vector retrieval, Reranker model optimization, LlamaIndex, Prompt Engineering
Skills:
process redesign , Ml, Data Manipulation, Data Analytics, Cybersecurity, Iot, Sql Scripting, advanced Excel, Machine Learning Algorithms, Data Analysis, LEAN Six Sigma Black Belt, Ai, cloud-based systems, infrastructure and system management, advanced analytical techniques, Process Automation
Skills:
Databases, Apis, Microservices, Distributed Systems, messaging systems, AI Agents, workflow orchestration, LLM integration, prompt engineering, Caching, RAG, MCP
Skills:
triton , Pytorch, Python, Nlp, modular AI agents, vLLM, Llm, Milvus, Agentic AI systems, vector databases, multi-agent orchestration, LangChain, FAISS, context management, prompt engineering, Ollama, LangGraph, Transformers
Skills:
Drm, Microservices, Cdn, Docker, Python, AWS, Java, Node.js, Cms, Google Cloud, Git, DevSecOps, Restful Apis, Azure, Kubernetes, CPE management, AI orchestration frameworks, TR-369, Iptv, Go, TR-069, CI CD, OTT, LLMs, RAG, cloud-native development