- Singapore

Lokasi Kerja
Penerangan Kerja
Tanggungjawab
About Us
We are a startup building AI solutions with our custom stack. With a small team and moving fast,
AI is core to what we are building. We are looking for a contractor who can plug in quickly, own
real features end-to-end, and ship without a lot of hand-holding.
The Engagement
You will work as an independent contractor building AI-powered features across our stack —
from LLM integrations and prompt design through to backend services and the UI users actually
touch. This is hands-on building, not advisory work. If you like shipping things and working
closely with a founder/small team, this should be a good fit.
We are looking for a senior, self-directed builder who can take a problem, make good decisions,
and turn it into working software. If the engagement goes well, there is room for growth.
What You Will Build
Agentic AI features end-to-end: cloud and self-hosted model integration, agent
optimizing including model selection and prompt tuning, implementations of agentic
constructs (flows, graphs, tool use, structured outputs, etc.), knowledge graphs including
defining them and populating them, backend orchestration, frontend UI.
Backend services that handle LLM calls, vector search, and standard APIs reliably and
cost-effectively.
Frontend interfaces that handle the quirks of AI products (streaming, partial states,
latency, graceful failure).
Evals and feedback loops so we can tell whether a change actually made the product
better.
Who We Are Looking For
Role Requirements
4+ years of professional software experience, with real production work on both backend
and frontend.
Shipped LLM-powered features before — you know what breaks at scale and have
opinions about how to handle it.
Strong with a modern backend stack (Node.js/TypeScript, Python, or similar) and
React/TypeScript on the frontend.
Write code that’s testable and built to scale — sensible architecture, meaningful tests,
and an eye for what’ll break at 10x the load.
Familiar with Postgres and at least one vector store (pgvector, Pinecone, Weaviate,
etc.).
Comfortable deploying to a cloud platform (AWS, GCP, Vercel, Fly, Railway —
whatever).
Hands-on with containers (Docker) and container-based deployment; experience with
orchestration (Kubernetes, ECS, or similar) is a plus.
Self-directed: you can take a loose problem statement, ask the right questions, and
deliver.
At ease in collaborating with a distributed team — strong written communication,
proactive updates, and good async habits.
Internet: Must have a high-speed, reliable internet connection.
Availability: Ready to start immediately.
Nice to Have
Prior startup experience, especially as an early engineer or technical co-founder.
Background with agent frameworks, RAG at scale, or fine-tuning.
Open-source work or demos you can point to.
Familiarity with defence, finance sectors
Our Stack
AI: Claude, Kiro, Langfuse, Gemini, Qwen
Backend: Python / FastAPI / Node.js / TypeScript, Postgres, Redis
Frontend: React, TypeScript, Tailwind
Infra: AWS, GCP, Docker, GitHub
Not dogmatic — we use what fits.
How We Work
Async-first, with [1–2 short syncs per week] for alignment.
Ship small, ship often — short feedback loops over big plans.
Direct communication; we expect pushback when you disagree.
You own what you build, including the rough edges.
Work Schedule & Compensation
Type: Full-time, Long-term.
Hours: 8 hours per day, Monday – Friday.
Location: 100% Remote.
Tools: Use of Hubstaff is required for time tracking and attendance.
How to Apply
If you are a dynamic and detail-oriented individual who loves AI and wants to be part of a
high-performing team, please apply with your updated resume and a brief note about your
experience with AI tools or software testing
Work Location: Remote
Peringatan Penting
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