Senior Full-Stack Software Engineer

Ordinary Folk; Singapore; On-site; SGD 160,000 - 230,000; Full time

Benefits offered by this job

Equity (ESOP)

Job summary

Ordinary Folk in Singapore is hiring a senior software engineer to drive AI-powered features for patient and clinical experiences. You’ll focus on architecture, review, and delivering reliable systems in a healthcare context across three regulated markets.

Lead with Claude Code and agentic workflows, own the end-to-end delivery from idea to production, and ensure speed and correctness in a high-trust, high-ownership environment.

Qualifications

• 6–7+ years building and shipping production software.
• AI-native development as default with daily use of AI coding tools.
• Hands-on experience building with LLMs in shipped product.
• Strong product instincts and full ownership: ship features end‑to‑end.
• Maintain AI-accelerated codebase with strong architecture and review discipline.

Responsibilities

• Build AI into the product: LLm-powered features for patient and clinical experience.
• Develop AI-first workflows using agent tools and orchestration.
• Own quality: architecture decisions, code reviews, testing, and reliability.
• Collaborate with founders and product on short feedback loops and metrics moves.

Skills

AI-native development

LLM integration

Code review

Architecture discipline

Tools

Claude Code

Agent orchestration

Job description

Ordinary Folk is the healthcare company behind Noah (men's health) and Zoey (women's health) — digital health brands serving over 200,000 patients across Singapore, Hong Kong, and Japan.

We build for the conditions people don't talk about: hair loss, sexual health, weight, hormones, fertility. The things people quietly Google at 2am but never bring up with a doctor. Our job is to close that gap — with licensed doctors, discreet pharmacy delivery, and technology that makes getting treated as easy as ordering dinner.

Digital health has been rebuilt from the ground up in the US and Europe, but across Asia, tens of millions of people still go untreated for conditions that are entirely solvable — because the stigma is heavier, the friction is higher, and nobody has built the products that make it feel normal. That's the opportunity: not copying a Western playbook, but building consumer healthcare that actually fits how people in Singapore, Hong Kong, and Japan live, think, and buy.

And we build it differently. Ordinary Folk runs AI-native — not as a slogan, but as an operating model. AI agents run real workflows across marketing, operations, and care delivery. Engineering ships with AI as a daily tool, which is how a small team moves at the pace of one several times its size.

About the Role

The job of a software engineer has changed more in the last two years than in the previous ten. We're hiring for the job as it exists now.

The engineers we rate highest no longer type most of their code — they direct it. They run AI coding tools as a daily driver, orchestrate agents across a codebase, and spend their judgment where it actually matters: architecture, review, product decisions, and the last mile that separates a demo from something patients can rely on. Their output looks like a small team's. If that describes how you already work — not how you're planning to work someday — keep reading.

This is a high-trust, high-ownership role. The flip side: the bar is genuinely high. We're in healthcare, in three regulated markets, and "the AI wrote it" is never an excuse. Speed and correctness are both the job.

What You'll Do

Build AI into the product. LLM-powered features in the patient and clinical experience, and the agent infrastructure behind our internal operating layer — orchestration, tool use, evaluation, and guardrails, with the care that clinical context demands.

Develop AI-first. Use tools like Claude Code and agentic workflows as your default way of building. Multiply your throughput — and own every line that ships as if you'd typed it.

Hold the quality bar. Architecture decisions, code review, testing, and reliability in a codebase moving at AI speed. Healthcare data security and privacy (PDPA and equivalent regimes in HK and JP) are table stakes, not an afterthought.

Work close to the business. Short loops with founders and product. You'll see the problem, the patient, and the metric your work moves.

What You Bring

Must-haves:

• 6–7+ years building and shipping production software, with genuine depth on both sides of the stack
• AI-native development as your default, not your experiment: daily use of AI coding tools and agentic workflows, and the judgment to direct, review, and verify at that speed
• Hands-on experience building with LLMs in shipped product — prompting, tool use, evals — not just using a chatbot on the side
• Strong product instincts and full ownership: you can go from vague problem to shipped feature without hand-holding
• The taste to keep an AI-accelerated codebase clean — architecture judgment and review discipline matter more now, not less

Nice-to-haves:

• Experience in healthcare, fintech, or another regulated industry
• Agent orchestration or AI infrastructure work beyond feature-level integration
• React Native or mobile experience
• Early-stage startup experience where you owned large surfaces solo

Details

• Employment type: Full-time
• Compensation: Competitive salary + equity (ESOP)