Jr. AI Engineer

Job Description

1. Design, develop, and fine-tune Large Language Models (LLMs) for chatbot and AI agent applications, focusing on natural language understanding and generation.
2. Collaborate with product teams, data scientists, and engineers to define requirements and build LLM-powered solutions for both customer-facing and internal AI agents.
3. Build and optimize AI pipelines for data preprocessing, model training, and inference, ensuring scalability and performance of LLM-based systems.
4. Implement and experiment with advanced LLM tools and frameworks, such as Ollama, OpenAI, CrewAI, PydanticAI, and LangChain.
5. Preprocess and curate high-quality text datasets for training and fine-tuning LLMs.
6. Evaluate and benchmark LLM performance using metrics or human evaluation, tailored for chatbot and AI agent use cases.
7. Integrate LLM solutions into production environments, ensuring low-latency and high-reliability performance.
8. Maintain thorough documentation of model architectures, training processes, and deployment workflows.

Job Requirements

1. Graduate from Bachelor, Diploma 3, Diploma 4 degree from IT, Computer Science or other related majors.
2. Have a minimum 1 year of experience as an AI Engineer with a focus on Large Language Models or related NLP tasks.
3. Strong problem-solving skills and the ability to collaborate in a fast-paced, cross-functional team.
4. Good communication skills to effectively convey technical concepts and project outcomes.
5. Proficiency in Python and LLM tools/frameworks (Ollama, OpenAI, CrewAI, PydanticAI, or LangChain).
6. Strong understanding of LLMs, including transformer architectures, fine-tuning techniques, and prompt engineering.
7. Experience in data preprocessing and dataset curation for LLM training.
8. Passion for LLMs and AI agents, with a proactive approach to learning and experimenting with new techniques.
9. Familiarity with deploying LLM models into production environments (via APIs or cloud platforms) is a plus.