Software Engineer

Pints Ai — Thailand · Posted ~7 hours ago

Mid Full-time Onsite

Skills

Functional specifications Requirements analysis Software development Codebase analysis Technical decision-making Client communication

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Summary ✨ AI‑Generated

Join an engineering team working at the frontier of enterprise AI. You will translate complex business requirements into clear functional specifications, assess existing systems, make practical technical decisions, and defend those decisions with stakeholders. The role offers substantial ownership and autonomy, with opportunities to move into production AI projects serving large organizations in regulated sectors.

Highlights

High-autonomy engineering role with end-to-end ownership, direct client interaction, exposure to enterprise AI, and opportunities to work on production systems for large organizations in regulated industries.

Description

We are looking for someone to join our company and push the frontiers of enterprise AI further. You will join our Bangkok team, building a new insurance platform for a large insurer. The engineers who do well here own their work end to end: understanding the problem, deciding what to build, writing it down clearly, and building it. Most of the work right now is writing functional specifications. You take the client's business requirements, decide what the system actually has to do, and write it down clearly enough for their team to approve. That means reading the existing codebase, working out what is realistic to build, and defending those decisions in front of the client. This project is not typical of what we do, and when it ends you will join our other engineers working on production AI systems for large organisations in regulated industries. Being a startup, 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. What You'll Do Turn the client's business requirements into clear, detailed, testable functional specificationsStudy the codebase closely enough to judge what is realistic, and raise concerns before the specification is writtenTake part in client workshops, follow up on open questions, and document what was agreedWrite and review production TypeScript as development work comes to usMove onto our other engagements and our own products, building production AI systems for enterprises in regulated industriesWork alongside our core and research teams on retrieval, LLM orchestration, and on-premise deployment Must Have 2 to 4 years of professional experience. If you have less but the rest of this list fits you, we would still like to hear from youProduction TypeScript, or strong fundamentals in another typed language. You will need it to read the system before you need it to writeReact, Node/Express, REST APIs, Git, Docker and Linux at a working levelProduction experience in more than one language or framework, and the ability to explain what you changed in your approach when you movedThe habit of asking what a requirement means before building against itProfessional English and native Thai. Client workshops are conducted in Thai, and our team works in English Nice to Have Something you built because you wanted it to exist, rather than because it was assigned to youA codebase you took over from someone else and improvedFreelance or client work where you were the only technical person involvedCompetitive programming, open source, or research carried out outside your jobPython, or experience with LLM or AI agent systemsInsurance, banking, or government systems, or work on the vendor side of a large client project About Pints AI Pints AI is an award-winning AI company based in Singapore. We build on-premise, privacy-preserving AI systems for some of Asia's most regulated industries, including banks, insurers and government agencies. Won the AI in Finance Global Challenge (2023) at SFF in SingaporeBuilt 1.5 Pints, a compact open-source LLM that outperforms Apple's OpenELM and Microsoft's Phi-1.5Built Autothought, our AI framework engine for back office automation in regulated industriesBuilt SentientRAG, a low-hallucination RAG framework for compliance-heavy data