ResearchEngineerII(FullStackEngineer)

Implicant Pte. Ltd. is a Singapore deep-tech spin-off from NTU SPMS. We build machine learning models that are interpretable by design and run on encrypted data using fully homomorphic encryption (FHE). We are building a managed cloud platform for FHE-protected interpretable model training and inference, targeting financial services, defense, healthcare, and clinical analytics. **Key Responsibilities:** * Build and ship features across the Implicant platform end-to-end, from database migration through API to frontend, with no handoffs. * Extend the training and inference platform (data ingestion, training jobs, Pareto frontier analysis, rule extraction, distillation pipelines). * Maintain and grow the customer-facing dashboard (inference page, model catalogue, billing). * Co-build the external API and Python SDK alongside the current full-stack lead. * Implement the FHE bootstrap key onboarding flow for clients running encrypted inference. * Wire Stripe billing and metering into the platform. * Own backend workflows for training jobs and asynchronous compute (FastAPI with Temporal-style orchestration). * Contribute to platform security and reliability (row-level security, authentication, audit logging). **Job Requirements:** * Bachelor's degree in Computer Science, Software Engineering, or a related field. * 4 years of relevant experience * Proven experience as full-stack engineer * Effective communication and interpersonal skills to collaborate with other engineers. * At least 3 years of full-stack experience shipping customer-facing software end-to-end. * Strong working knowledge of Python with FastAPI (or similar) and TypeScript with a modern frontend framework (Svelte preferred; React or Vue acceptable). * Production experience with PostgreSQL, including row-level security. * Good understanding of Machine Learning (architecture principles and ML librairies) * ML-literate: comfortable reading scikit-learn and PyTorch code and working with tabular machine learning