WHY YOU’LL LIKE IT HERE

• Real impact. Your work powers real classrooms and next-generation learning.
• Flexible location within a compatible time zone to Singapore or Sydney, Australia.
• Lean team, big autonomy = less bureaucracy, more building.
• We offer a competitive package to the right candidate.

MINIMUM QUALIFICATIONS: YOUR SKILLS

• You have proven experience shipping production-ready GenAI systems: LLM orchestration (prompting, function/tool calling), RAG pipelines (chunking, embeddings, vector stores, re-ranking), agentic workflows (planning, tool use, memory), plus safety/guardrails and evaluation with production MLOps for observability, reliability, cost and speed.
• You are highly proficient in Python and comfortable working with other relevant languages and technologies (databases, APIs, & frameworks such as TensorFlow, PyTorch, LangChain, Gunicorn, and similar tools).
• You thrive in a small, highly-agile development team, balancing self-direction with tight collaboration, adapting quickly to changing priorities and feedback.
• You have relevant tertiary qualifications and minimum 2 years’ experience in a similar role, in a fast-paced environment.
• You are a strategic thinker with a passion for using AI to solve real-world problems.
  Scribo Learning (formerly known as Literatu) is an edtech innovator developing and commercialising AI-powered education tools. Our flagship product Scribo Writing is an AI-powered feedback and grading platform aligned to teaching standards and levels across the world. Other AI-powered products loved by educators, learners and parents include: Scribo Micro, Scribo Vision, and Scribo Data. We are proud to have partnered with institutions across the world including the likes of British Council, United World College, Marshall Cavendish Education, and MOE Singapore

• Architect and build API-based AI services that power sophisticated applications across the Literatu product suite, enabling the wider development team to integrate advanced capabilities quickly and reliably.
• Contribute across the development lifecycle in a collaborative environment, supporting design, implementation, deployment and monitoring of AI services to ensure robust, production-ready, maintainable solutions.
• Evaluate and integrate best-fit LLMs, ML frameworks and AI tools that enhance product features and performance.
• Stay up to date with AI/ML advancements and recommend practical technologies and practices that continue to strengthen the platform.