AI Research Engineer

22 hours ago

Singapore MOZAT PTE. LTD. Full time

About the Role We are building intelligent systems that can see, speak, understand, and act . As an AI Research Engineer , you will work at the frontier of LLM-based agents and multimodal AI , helping us design and deploy interactive systems that reason, adapt, and collaborate with humans. You'll join a fast-moving team of researchers and engineers working on next-generation agentic architectures , exploring how LLMs can use tools, remember, plan, and respond dynamically across language, vision, and other sensory inputs. This is not just model tweaking. You'll design full-stack AI behaviors — from prompt design to memory systems to multimodal grounding — that push the boundaries of real-world AI applications. Key Responsibilities Design, develop, and optimize LLM-based and multimodal agent architectures , integrating language, vision, audio, and structured data. Conduct experiments in prompt engineering, fine-tuning, RAG (retrieval-augmented generation), multimodal fusion , and reasoning . Prototype interactive AI agents that perceive context, understand intent, and perform goal-directed actions . Work closely with engineering and research teams on model evaluation, pipeline design , and large-scale experimentation . Keep abreast of the latest advancements in LLMs, multimodal models , and agentic workflows . Contribute to technical documentation, internal research reports , and (optionally) external publications. Collaborate cross-functionally with product, design, and infrastructure teams to bring cutting-edge AI into production. Requirements Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning , or related fields. Solid foundations in algorithms, data structures, and system architecture . Proficient in Python with hands-on experience using PyTorch or similar frameworks. Experience with LLM tooling and APIs (e.g., Hugging Face Transformers, LangChain, vLLM, OpenAI API, etc.). Familiarity with multimodal models (vision-language, audio-language, video-language) and integrating them into AI pipelines. Practical experience in fine-tuning , RAG , or agent workflows (e.g., tool-use, memory, planning). Strong analytical mindset and ability to reason from data and experiments. Nice to Have Publications or open-source contributions in LLM, multimodal, or agentic AI . Experience with vector databases , knowledge graphs , or reasoning modules . Hands-on work building interactive AI apps (e.g., virtual assistants, autonomous agents, research copilots). Understanding of reinforcement learning , LLM evaluation frameworks , or human-AI interaction design . What We Offer Work at the bleeding edge of AI research and real-world deployment . Collaborate with world-class talent across AI, product, and design teams. Competitive salary, performance bonus, and equity options (for qualified candidates). Flexible working arrangements and opportunities to publish, present, or contribute to open-source . A mission-driven environment building AI that understands and helps humans — not just answers queries. #J-18808-Ljbffr

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