Design and implement RAG pipelines and LLM application workflows (prompting, retrieval, tool calling, agents), and expose them as reliable, scalable services.
Develop applications and backends: Build APIs, integrations, and lightweight UIs using Python, FastAPI, and PostgreSQL, including data ingestion and retrieval pipelines (search and vector services).
Follow through on what’s been built. Keep live experiments safe and reliable, then help hand them over, merge them or wind them down responsibly once they’ve answered the question we set out to test.
Partner with data scientists and data engineers across Singapore, Australia, Japan, and Emerging Markets to identify and prioritise automation opportunities.
Build production AI systems. Create agents that use tools and customer context to complete real business workflows, learn through feedback loops and long-term memory, and become more useful over time, supported by practical evaluation and observability.
Partner closely with IC design teams to ensure to deliver comprehensive technical specifications, rigorous benchmark reports, and high-value patent proposals.
PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields; ideally from a leading research group in local universities, or 5+ years of relevant industry experience with strong knowledge of Asia-Pacific domain.
Develop applications and backends: Build APIs, integrations, and lightweight UIs using Python, FastAPI, and PostgreSQL, including data ingestion and retrieval pipelines (search and vector services).
Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Integrate software engineering, quality assurance, devsecops, and mlops frameworks, guidelines and processes taking into account industry best practices, into software development activities.