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Job Description
- Design, develop, and fine-tune Large Language Models (LLMs) for chatbot and AI agent applications, focusing on natural language understanding and generation.
- Collaborate with product teams, data scientists, and engineers to define requirements and build LLM-powered solutions for both customer-facing and internal AI agents.
- Build and optimize AI pipelines for data preprocessing, model training, and inference, ensuring scalability and performance of LLM-based systems.
- Implement and experiment with advanced LLM tools and frameworks, such as Ollama, OpenAI, CrewAI, PydanticAI, and LangChain.
- Preprocess and curate high-quality text datasets for training and fine-tuning LLMs.
- Evaluate and benchmark LLM performance using metrics or human evaluation, tailored for chatbot and AI agent use cases.
- Integrate LLM solutions into production environments, ensuring low-latency and high-reliability performance.
- Maintain thorough documentation of model architectures, training processes, and deployment workflows.
- Graduate from Bachelor, Diploma 3, Diploma 4 degree from IT, Computer Science or other related majors.
- Have a minimum 1 year of experience as an AI Engineer with a focus on Large Language Models or related NLP tasks.
- Strong problem-solving skills and the ability to collaborate in a fast-paced, cross-functional team.
- Good communication skills to effectively convey technical concepts and project outcomes.
- Proficiency in Python and LLM tools/frameworks (Ollama, OpenAI, CrewAI, PydanticAI, or LangChain).
- Strong understanding of LLMs, including transformer architectures, fine-tuning techniques, and prompt engineering.
- Experience in data preprocessing and dataset curation for LLM training.
- Passion for LLMs and AI agents, with a proactive approach to learning and experimenting with new techniques.
- Familiarity with deploying LLM models into production environments (via APIs or cloud platforms) is a plus.
Job Description
- Design, develop, and fine-tune Large Language Models (LLMs) for chatbot and AI agent applications, focusing on natural language understanding and generation.
- Collaborate with product teams, data scientists, and engineers to define requirements and build LLM-powered solutions for both customer-facing and internal AI agents.
- Build and optimize AI pipelines for data preprocessing, model training, and inference, ensuring scalability and performance of LLM-based systems.
- Implement and experiment with advanced LLM tools and frameworks, such as Ollama, OpenAI, CrewAI, PydanticAI, and LangChain.
- Preprocess and curate high-quality text datasets for training and fine-tuning LLMs.
- Evaluate and benchmark LLM performance using metrics or human evaluation, tailored for chatbot and AI agent use cases.
- Integrate LLM solutions into production environments, ensuring low-latency and high-reliability performance.
- Maintain thorough documentation of model architectures, training processes, and deployment workflows.
- Graduate from Bachelor, Diploma 3, Diploma 4 degree from IT, Computer Science or other related majors.
- Have a minimum 1 year of experience as an AI Engineer with a focus on Large Language Models or related NLP tasks.
- Strong problem-solving skills and the ability to collaborate in a fast-paced, cross-functional team.
- Good communication skills to effectively convey technical concepts and project outcomes.
- Proficiency in Python and LLM tools/frameworks (Ollama, OpenAI, CrewAI, PydanticAI, or LangChain).
- Strong understanding of LLMs, including transformer architectures, fine-tuning techniques, and prompt engineering.
- Experience in data preprocessing and dataset curation for LLM training.
- Passion for LLMs and AI agents, with a proactive approach to learning and experimenting with new techniques.
- Familiarity with deploying LLM models into production environments (via APIs or cloud platforms) is a plus.