LLM Engineer
3 days ago
Key Responsibilities Participate in core research, development, and integration of LLM-based projects. Design, train, fine-tune, and deploy models based on Transformer architectures (e.g., GPT, Gemini, LLaMA, Deepseek). Independently handle model optimization, evaluation, and inference performance improvements . Conduct prompt engineering to enhance model controllability, consistency, and safety. Implement evaluation, safety, and reliability mechanisms for LLMs, ensuring robust deployment in production environments. Build agentic AI systems by integrating APIs, contextual memory, and reasoning capabilities to accomplish complex tasks. Collaborate with product and engineering teams to deliver real-world AI applications , including automation, analytics, and intelligent assistants. Stay updated on advancements in open-source LLM ecosystems and contribute to model research or open-source communities when applicable. Qualifications Education & Background Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field. Around 2 years of experience in AI SaaS or LLM-based application development, including model fine-tuning, deployment, or integration. Prior project experience in the education, legal, or financial sectors will be an advantage. Technical Skills Deep understanding of LLM architectures (e.g., Transformer, RAG, instruction-tuning, quantization). Proficiency in Python and at least one AI framework ( PyTorch , TensorFlow , or similar). Practical experience in prompt engineering , fine-tuning , or reinforcement learning with human feedback (RLHF) . Skilled in model evaluation metrics (accuracy, hallucination control, bias testing, safety alignment). Experience deploying models via cloud AI services (AWS, Azure, GCP) or containerized environments . Familiarity with LangChain, MCP protocol, or agentic frameworks is a plus. Open-source contributions or published AI research papers are highly valued. Other Requirements Strong communication skills in both English and Mandarin; ability to communicate effectively with regional colleagues and partners is an advantage. Able to work independently and learn new technologies quickly. Highly self-motivated, with the ability to deliver results in a fast-paced environment. Passionate about AI-driven product development and intelligent systems. What We Offer Competitive compensation and growth-oriented equity incentives. Opportunities to work alongside leading AI entrepreneurs and technical experts. An open, collaborative, and innovation-driven culture. Flexible work arrangements and strong support for professional growth. The opportunity to help build next-generation Agentic AI platforms for industries such as education, legal, and finance. #J-18808-Ljbffr
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Llm/mlops Engineer, It
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Singapore Singapore Technologies Engineering Ltd Full timeJob ID: 16604- Location: Digital Hub, SG- Description: - **JOB RESPONSIBILITIES** **On-Premise Open-Source LLM Hosting and Deployment**: - Lead the deployment and management of open-source models like Llama, Mistral, and others in on-premise environments. - Design and implement infrastructure that supports large-scale LLM hosting, ensuring security,...
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Llm Engineer
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Singapore Snaphunt Pte Ltd Full timeCompany Snaphunt Pte Ltd Designation LLM Engineer (Remote) Date Listed 20 Aug 2025 Job Type Entry Level / Junior Executive - Full/Perm Job Period Immediate Start, Permanent Profession IT / Information Technology Industry Computer and IT Location Name Singapore Allowance / Remuneration $5,000 - 8,000 monthly Company Profile Our client help...
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Singapore Input Output Hong Kong Full timeWho are we?IOHK, is a technology company focused on Blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include decentralized finance (DeFi), governance, and identity management,...
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