Overview
Founder @ Austin Werner | Digital Assets, Blockchain, Web3, Finance, Insurance.
If you enjoy turning research into real products and you like owning the path from idea to production, this will probably feel like your kind of work.
We’re partnering with a fast-growing innovation collective building advanced AI systems across fintech, real estate, and microfinance.
AI meets Web3 and enterprise platforms.
That mix can be messy.
It’s also where a good architect shines.
Here’s the thing.
This isn’t a pure research seat or a pure platform role.
It’s both.
You’ll prototype, test, and ship.
You’ll set standards, then bend them when the data says so.
I’ve noticed the best people in roles like this care about accuracy, latency, and cost in equal measure.
What you’ll do
Lead AI/ML Architect: Design and prototype AI and ML solutions that support next‐gen products, with a focus on LLMs, RAG, and real-time use cases.
Build and maintain training and inference pipelines, experiment frameworks, and cloud deployment on AWS or GCP.
Integrate models into production applications with product, data, and engineering teams.
Run practical research across LLMs, retrieval, RL, and emerging methods.
Turn findings into shipped improvements.
Lead data strategy and governance with strong privacy and security practices.
Benchmark models for quality, latency, and total cost.
Push fast from concept to launch, then iterate.
What you bring
5+ years in AI or ML R&D with models running in production.
We care more about shipped systems than titles.
Deep knowledge of modern architectures: transformers, LLMs, prompt and inference tuning, and evaluation.
Strong Python; experience with PyTorch or TensorFlow; hands-on with Hugging Face tooling.
Solid MLOps: CI/CD, containerization, reproducible experiments, and data pipelines.
Cloud experience on AWS or GCP.
Bonus if you know Kubernetes, Docker, and model serving.
Nice to have: Web3 data, smart contracts, vector search, multi‐modal ML, or AR/VR interfaces.
Extra points for publications or open-source work; showing your thinking in public is valued.
Why this could be for you
Foundational remit across multiple AI and blockchain ventures.
You’ll set patterns others will follow.
Remote first across GMT+5 to GMT+9 with an anchor in Singapore.
Async habits matter.
Competitive package with potential for equity or profit share.
High ownership and room to experiment; bias to ship, learn, and improve.
Signals you might be the one
You’ve shipped an LLM feature and had to tame latency or cost.
You didn’t just tweak prompts; you rethought the approach.
You enjoy messy data, evolving requirements, and clear outcomes.
You write clear docs and care about tests.
Future you will thank you.
Tech you’ll likely touch
Python, PyTorch, TensorFlow, Hugging Face, LangChain or equivalent, vector databases, RAG pipelines, evaluation frameworks, Kubernetes, Docker, AWS or GCP, CI/CD, feature stores, Airflow, Kafka or event streams.
Location and hours
Remote across Asia time zones.
GMT+5 to GMT+9 preferred.
Occasional travel to Singapore.
How to apply
Send your CV and a short note on a model you took from prototype to production.
Links to GitHub, papers, or demos help a lot.
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