Systems - AI Automation Engineer(Intern) 工作, VALSEA 公司招聘中 - Ricebowl

VALSEA is building speech intelligence infrastructure for Asia.

Internally, we are also building VALSEA OS: an AI-powered operating system connecting tasks, meetings, CRM, sales, engineering, knowledge and company workflows.

We are looking for an exceptional Automation & AI Engineering Intern to build it with us.

This is not a conventional internship. You will not spend your time fixing small tickets or shadowing senior engineers. You will design and ship production workflows that the entire company uses every day.

We are particularly interested in hackathon winners, fast builders and unusually strong technical generalists who are excellent at API integrations, workflow orchestration and turning ambiguous operational problems into working systems.

What you will build

You will help build VALSEA OS across workflows such as:

Converting Slack and Telegram messages into assigned tasks

Extracting action items from Fathom meeting transcripts

Generating meeting agendas before calls

Syncing meetings, contacts and opportunities into HubSpot

Automating lead research, outreach and follow-ups

Connecting GitHub activity to product and deployment records

Building approval workflows for AI-generated actions

Creating company-wide dashboards, alerts and daily digests

Building an AI copilot that can answer questions across company data

Connecting people, projects, meetings, customers and decisions into one company graph

A typical workflow may look like:

Slack message

• webhook
• identity resolution
• AI extraction
• duplicate check
• human approval
• task creation
• owner notification
• audit log

You will own workflows from idea to production.

What you will do

Design and implement multi-step automations across internal tools

Integrate APIs including Slack, Telegram, HubSpot, Google Workspace, GitHub, Fathom and Supabase

Build reliable workflows using n8n, serverless functions and custom backend services

Use LLMs for classification, extraction, routing, summarisation and recommendations

Build human-in-the-loop approval systems for important AI actions

Design clean data models for tasks, meetings, projects, users and CRM objects

Create webhook handlers, scheduled jobs and event-driven workflows

Implement retries, logging, idempotency and error recovery

Build lightweight internal interfaces in Next.js

Work directly with the founder and engineering team

Ship working systems quickly and improve them based on internal usage

What we are looking for

You are likely a strong fit if you:

Have won or placed highly in hackathons, coding competitions or technical challenges

Can build a working product in hours or days, not months

Are excellent at reading API documentation and connecting unfamiliar systems

Understand webhooks, REST APIs, OAuth, authentication and asynchronous workflows

Can work across frontend, backend, databases and infrastructure

Have built AI agents, internal tools, workflow automations or developer products

Can turn unclear business requirements into a practical technical design

Debug systematically rather than relying on trial and error

Care about reliability, not just impressive demos

Communicate clearly and take full ownership of outcomes

We care much more about evidence of exceptional ability than credentials, university, age or years of experience.

Technical skills

Strong experience with several of the following:

TypeScript or Python

Node.js

Next.js and React

Supabase or PostgreSQL

n8n, Temporal, Make or similar orchestration tools

REST APIs and webhooks

OAuth 2.0

Slack and Telegram APIs

HubSpot APIs

GitHub APIs

Google Workspace APIs

LLM APIs and structured outputs

Vector search and retrieval

Vercel, AWS or serverless infrastructure

Queueing, retries and background jobs

You do not need to know every tool already. You must be able to learn unfamiliar systems extremely quickly.

What exceptional looks like

We are not looking for someone who waits for perfectly written specifications.

We are looking for someone who can receive a problem such as:

“Important tasks are getting lost across Slack, Telegram and meetings.”

And independently:

1. Map the workflow

2. Identify the relevant APIs

3. Design the data model

4. Build the integration

5. Add AI extraction

6. Handle failures and duplicates

7. Ship a usable interface

8. Test it with the team

9. Improve it from feedback

The ideal candidate combines the speed of a hackathon builder with the discipline of a production engineer.

Example first-month projects

During your first month, you may ship:

Slack message-to-task workflow

Telegram message-to-task workflow

Fathom transcript-to-action-item pipeline

Team identity mapping across internal platforms

Daily personalised task digest

AI approval inbox

HubSpot meeting and deal recommendation workflow

Central automation error dashboard

How we work

VALSEA operates with:

High ownership

Fast execution

Direct communication

Strong technical curiosity

High standards

Low bureaucracy

A bias toward shipping

Character over credentials

Our core values are Character, Excellence and Impact, supported by trust, humility and ownership.

What you will gain

Direct ownership of company-critical systems

Close exposure to product, engineering, sales and operations

Experience building production AI workflows

A portfolio of systems used by a real startup team

Direct collaboration with the founder

The opportunity to shape how VALSEA operates as it grows

Potential progression into a full-time engineering role

We are looking for rare builders: people who can understand complex systems quickly, integrate almost anything and turn messy company operations into elegant automated workflows.