Senior LLM Engineer / LLM Architect

PT Tri Digital Perkasa (Volantis Technology) · 📍 Yogyakarta, DI Yogyakarta · Diposting 2026-10-09
FULL_TIME⭐ TERVERIFIKASI
IDR 25000000 - 27000000
PT Tri Digital Perkasa (Volantis Technology) is seeking a talented Senior LLM Engineer or LLM Architect to join our team in Yogyakarta. In this role, you will be responsible for developing and implementing advanced language models, ensuring their performance and scalability. If you are passionate about AI and language processing, and have a strong background in machine learning, we encourage you to apply.

📋 Tanggung Jawab Pekerjaan

Develop and implement advanced language models using state-of-the-art techniques.,Ensure the performance, scalability, and reliability of language models.,Collaborate with cross-functional teams to integrate language models into products and services.,Conduct research and stay updated with the latest advancements in the field of language models.,Optimize language models for specific use cases and applications.,Mentor and guide junior engineers and architects in the team.,Evaluate and select appropriate tools, frameworks, and technologies for language model development.,Participate in code reviews and provide constructive feedback to improve code quality.

🎓 Kualifikasi & Syarat

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.,Proven experience as an LLM Engineer or LLM Architect, preferably in a similar role.,Strong programming skills in Python, with experience in machine learning libraries such as TensorFlow, PyTorch, or Keras.,Solid understanding of natural language processing (NLP) techniques and algorithms.,Experience with cloud platforms such as AWS, Google Cloud, or Azure.,Knowledge of containerization technologies like Docker and Kubernetes.,Excellent problem-solving skills and ability to work in a fast-paced environment.,Strong communication and collaboration skills to work effectively with cross-functional teams.

🛠️ Keahlian

PythonTensorFlowPyTorchKerasAWSGoogle CloudAzureDockerKubernetesNLP
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