8 months ago
Jakarta, IndonesiaMid Level / Senior
Responsibilities
- Fine-tune and optimize LLMs for chatbot applications and NLP tasks.
- Build and manage deployment pipelines using relevant AI and infrastructure frameworks.
- Implement and manage LLM observability tools to monitor model behavior and health.
- Optimize chatbot models for latency, token usage, accuracy, and relevance.
- Translate business and user requirements into technical LLM capabilities.
- Collaborate with Product, Data Science, and Engineering teams to align AI capabilities across systems.
- Contribute to internal AI development standards and share best practices with architecture and engineering teams.
- Address multilingual financial use cases, secure production integration, model cost and performance tradeoffs, bias, hallucination, and compliance concerns.
Requirements
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 3–5 years of AI/ML experience with proven experience fine-tuning and deploying LLM-based chatbot systems.
- Experience with LLM frameworks such as LangChain, Unsloth, and Hugging Face.
- Hands-on experience with LoRA, QLoRA, and PEFT fine-tuning techniques.
- Experience with Docker, FastAPI, Ray, and Kubernetes for deployment pipelines.
- Experience with vector stores and embedding models such as FAISS and Pinecone.
- Knowledge of LLM observability tools such as Arize AI, Phoenix, and Weights & Biases.
- Proficiency in Python, PyTorch, or TensorFlow.
- Knowledge of prompt engineering and retrieval-augmented generation.
- Strong problem-solving, critical-thinking, communication, collaboration, continuous-learning, and delivery-oriented skills.
Benefits
- Onsite position.
- Future opening.