- Clementi West Region (Singapore) Singapore
MAGELLAN GLOBAL PTE. LTD. Hiring! Full Time Senior AI Engineer - AI Agents - RAG - Fine-Tuning in West Region (Singapore), Earn up to SGD 11,000 - Ricebowl
Senior AI Engineer - AI Agents - RAG - Fine-Tuning
MAGELLAN GLOBAL PTE. LTD.
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Job Description
Responsibilities
About the Role
We are looking for experienced AI Engineer with hands-on experience in AI agents, Retrieval-Augmented Generation (RAG), and model fine-tuning. In this role, you will design, build, and optimize intelligent systems that enhance automation, knowledge retrieval, and decision-making across our product ecosystem. You will collaborate closely with product, engineering, and data teams to deliver scalable, production-grade AI solutions.
Key Responsibilities
Design, develop, and deploy AI agent systems capable of task planning, tool usage, and autonomous workflow execution.
Build and optimize RAG pipelines, including document chunking, embeddings, vector search, and retrieval orchestration.
Fine-tune large language models (LLMs) using instruction tuning, supervised fine-tuning (SFT), or reinforcement learning from human feedback (RLHF).
Implement high-performance inference pipelines and monitor model performance in production. Collaborate with cross-functional teams to integrate AI services into products and internal platforms.
Basic Qualifications
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
4–6 years of hands-on experience
in machine learning or NLP engineering roles.
Strong proficiency in Python and AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
Proven experience in: Building and deploying AI agents (LangChain, AutoGen, OpenAI Assistants, etc.) Designing RAG pipelines with vector databases (e.g., Pinecone, FAISS, Weaviate, Milvus) Fine-tuning LLMs on custom datasets Solid understanding of NLP concepts, embeddings, prompt engineering, and model evaluation.
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. Strong problem-solving skills, communication ability, and a passion for applied AI innovation.
Preferred Qualifications
Experience with multi-agent systems or agent frameworks.
Knowledge of distributed systems and GPU optimization.
Familiarity with MLOps tools (Weights & Biases, MLflow, Ray, etc.).
Background in dataset curation and synthetic data generation.
Magellan Global/MTRI is an AI research and deployment company exploring how artificial intelligence can make complex work simpler, smarter, and more reliable for legal and professional services.
We focus on natural language processing, agentic workflow, multimodal reasoning, and information retrieval and automation: technologies that help professionals find answers faster and work with greater accuracy.
Unlike general-purpose AI models, our works emphasize compliance, accuracy, contextual understanding, and domain reliability. By combining deep research with real-world expertise, we develop trustworthy AI technologies that power the next generation of digital transformation solutions.
We are looking for experienced AI Engineer with hands-on experience in AI agents, Retrieval-Augmented Generation (RAG), and model fine-tuning. In this role, you will design, build, and optimize intelligent systems that enhance automation, knowledge retrieval, and decision-making across our product ecosystem. You will collaborate closely with product, engineering, and data teams to deliver scalable, production-grade AI solutions.
Key Responsibilities
Design, develop, and deploy AI agent systems capable of task planning, tool usage, and autonomous workflow execution.
Build and optimize RAG pipelines, including document chunking, embeddings, vector search, and retrieval orchestration.
Fine-tune large language models (LLMs) using instruction tuning, supervised fine-tuning (SFT), or reinforcement learning from human feedback (RLHF).
Implement high-performance inference pipelines and monitor model performance in production. Collaborate with cross-functional teams to integrate AI services into products and internal platforms.
Basic Qualifications
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
4–6 years of hands-on experience
in machine learning or NLP engineering roles.
Strong proficiency in Python and AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
Proven experience in: Building and deploying AI agents (LangChain, AutoGen, OpenAI Assistants, etc.) Designing RAG pipelines with vector databases (e.g., Pinecone, FAISS, Weaviate, Milvus) Fine-tuning LLMs on custom datasets Solid understanding of NLP concepts, embeddings, prompt engineering, and model evaluation.
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. Strong problem-solving skills, communication ability, and a passion for applied AI innovation.
Preferred Qualifications
Experience with multi-agent systems or agent frameworks.
Knowledge of distributed systems and GPU optimization.
Familiarity with MLOps tools (Weights & Biases, MLflow, Ray, etc.).
Background in dataset curation and synthetic data generation.
Magellan Global/MTRI is an AI research and deployment company exploring how artificial intelligence can make complex work simpler, smarter, and more reliable for legal and professional services.
We focus on natural language processing, agentic workflow, multimodal reasoning, and information retrieval and automation: technologies that help professionals find answers faster and work with greater accuracy.
Unlike general-purpose AI models, our works emphasize compliance, accuracy, contextual understanding, and domain reliability. By combining deep research with real-world expertise, we develop trustworthy AI technologies that power the next generation of digital transformation solutions.
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