About BukuWarung
BukuWarung's mission is to empower 60 million MSMEs in Indonesia to become financially aware and manage their businesses more effectively through technology — from bookkeeping and digital payments to AI-driven operations.
As we enter our next growth phase, we're expanding our AI Platform & Operations function to build scalable, intelligent systems that accelerate product development and automate operations.
Role Overview
We're looking for an AI Engineer who can bridge AI product development and infrastructure — designing, deploying, and maintaining production-grade AI systems that power internal tools and core business operations.
Key Responsibilities
- Design, train, and deploy ML/LLM models for use cases like anomaly detection, forecasting, and conversational AI.
- Build modular APIs, pipelines, and microservices for inference and automation.
- Maintain scalable ML infrastructure, CI/CD pipelines, and observability for model performance.
- Automate model retraining, deployment, and validation using AIOps practices.
- Develop data pipelines, manage feature stores, and support RAG-based systems.
- Collaborate with engineers and product teams to translate business needs into reliable AI solutions.
- Contribute to MLOps standards, documentation, and governance.
Qualifications
- Bachelor's or Master's in Computer Science, Engineering, or related field
- 5+ years of experience in backend or ML engineering
- Strong Python skills (FastAPI, Flask) and microservice architecture knowledge
- Hands-on experience deploying and monitoring ML/LLM models in production
- Proficiency with ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain)
- Familiar with infrastructure tools (Docker, Kubernetes, Terraform, Airflow) and cloud platforms (GCP/AWS/Azure)
- Understanding of observability (Prometheus, Grafana, ELK, OpenTelemetry) and vector databases (Pinecone, Weaviate, FAISS)
- Experience managing GPU workloads and optimizing cost