We are looking for someone to join our company and push the frontiers of enterprise AI further.
This is not going to be just another software engineering job. We will need you to be flexible with your job scope, which includes nurturing younger software developers, strategising together with the management on the product and go-to-market, maintaining the coding standards, and then some.
As we are pushing the frontiers, the direction and execution clarity are often vague, iterative, and less structured. If you thrive in a place where autonomy given is high, and are able to translate broad visions to concrete steps, this is for you.
About Pints AI
Pints AI is a multi-award-winning AI company based in Singapore, known for deploying on-premise, privacy-preserving AI systems in some of Asia’s most regulated industries - including banks, insurers, and government entities.
Won AI in Finance Global Challenge (2023) at SFF in Singapore
Built the 1.5 Pints open-source model - a compact LLM outperforming Apple’s OpenELM and Microsoft’s Phi-1.5
Developed Autothought, our AI reporting engine, now used to replace business analysts in regulated verticals
Engineered SentientRAG, a low-hallucination RAG framework optimized for compliance-heavy data
Responsibilities
Writing clean, high-quality, high-performance, maintainable code
Manage stakeholders and communicate with clients
Lead a team
Qualifications
Bachelor's degree in Computer Science (or related field)
3+ years of relevant work experience
Skills \& Traits We’re Looking For
Experience with Agile or Scrum software development methodologies
Ability to multi-task, organize, and prioritize work
Solid TypeScript/JS and Python experience
React, Node/Express, REST APIs
Git, Docker, Linux familiarity
Understanding of embeddings, vector stores, LangChain/LlamaIndex
Self-starter mindset - comfortable moving in ambiguity
Exposure to RAG or LLM-driven tools is a bonus
What You’ll Do
1. Prototype Real-World AI Use Cases
Apply Autothought to solve problems in claims, compliance, risk, onboarding, and more
Deploy domain-tuned RAG, fine-tuned models, and secure NLP pipelines
2. Full-Stack Software Engineering
Own the development of AI-powered internal tools (React + Express)
Ship fast in feedback loops while balancing reliability and privacy
Work within a secure, tightly monitored infrastructure
3. Client Collaboration
Sit alongside business, compliance, and tech teams inside the client
Shape requirements, validate assumptions, and ship iteratively
4. Cross-Pollinate with Pints AI’s R\&D
Stay plugged into our research team’s work on LLM orchestration, embeddings, and compression
Contribute to internal tools and open-source libraries when off client delivery cycles
Level up fast through mentorship, feedback, and hands-on deployments