About Us
Founder Story
NexDatawork is founded by two data engineers, who are really good at doing (dirty) data work. In reality, we are constantly caught up by too many pings: Can you fetch that data? Can you pull this report? Can you point us to the right datasets? ...
One day, we had a 'brilliant' idea: What if we build an AI which is good enough … so that we wouldn’t have to do this anymore?
A data agent (AI data team) that could handle all these requests, answer every question instantly, and free us from the never-ending cycle of SQL queries and dashboard tweaks.
We are thrilled at creating this future - a data agent that can ultimately do all of our jobs (sounds crazy!).
We believe that everyone should access to and benefit from data - not just technical experts. There is so much hidden value goes undiscovered, buried in complexity. And we’re going to change that - by democratizing the delivery of true value of data.
With our data agent, you are at the center. It understands you - your industry, context, goal, and pattern. It understands data - data logic, data lifecycle, workflow, data governance. With data agent, you can unlock insights effortlessly and instantly.
How is the data agent built?
As experienced data engineers, we are good at 'break slice down'. Now, we are busy spending our time working on the whole building block, building the very thing that could benefit all of us.
We welcome every curious mind, bold builder, and data dreamer to join us - build in public, ship fast, and shape the future together.
And if we do this right and nail this, we’ll finally build something that free us for good.
Join Us
We are a global team!
AI Agent Engineer
-
Designs and builds the AI-driven data agent with context awareness, reasoning, and automation.
-
Works with LLMs, retrieval-augmented generation (RAG), vector databases, and multi-agent frameworks.
-
Optimizes AI workflows for efficiency, accuracy, and real-time decision-making.
Hybrid/Remote
AI-Infra Engineer
-
Develops the backend infrastructure to support AI agent workloads, including serverless architectures, event-driven processing, and cloud optimization.
-
Implements LLM fine-tuning, prompt engineering, and model deployment strategies.
-
Ensures scalability, cost-efficiency, and integration with enterprise data sources.
Hybrid/Remote
UI/UX Designer
-
Designs intuitive user interfaces where users can interact with AI agents using natural language and choice-based navigation.
-
Develops multi-modal interfaces (text, voice, visual) for seamless AI interactions.
-
Focuses on explainability, trust, and ethical AI to ensure users have confidence in AI-generated insights.
Hybrid/Remote
