Forward Deployed Engineer Intern

TenthNode.ai

Singapore

Remote

SGD 90,000 - 150,000

Full time

11 days ago

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Job summary

TenthNode.ai is seeking an engineer to join an early-stage AI tools team in Singapore. You will build agents that operate inside real business workflows, starting with invoices, inquiries, applications and reports.

You will ship small, review-backed PRs and decide when to escalate to humans to keep systems reliable. You will learn to build with AI agents properly, communicate with operations leaders, and contribute to the evolution of operating software.

Qualifications

  • Evidence of real projects and verifiable commit history.
  • Ability to explain every line of your own code.
  • Willingness to learn AI tools and workflows.
  • Proactive in asking questions before coding.

Responsibilities

  • Work with the people who do the job today and learn how work really gets done.
  • Write a short brief on what hurts, what it costs and what we would build.
  • Build agents that read, decide and act inside real business workflows: invoices, enquiries, applications and reports.
  • Ship small pull requests every day with founder review before client delivery.
  • Decide where the agent stops and asks a human to intervene.
  • Stay with it after launch and fix what slows users down.
  • Sit in client conversations with the founders to learn from their experience.

Skills

Commit history
Code explainability
Problem solving
Curiosity

Education

Degree preferred

Tools

Python
TypeScript
Postgres
n8n
OpenAI API
Anthropic API
Google API
Git
AWS
Azure

Job description

  • What you will actually doWork with the people who do the job today. Learn how the work really gets done, not how the process map says it does.
  • Write a short brief on what hurts, what it costs and what we would build.
  • Build agents that read, decide and act inside real business workflows: invoices, enquiries, applications and reports.
  • Ship small pull requests every day. A founder reviews each one before it reaches a client.
  • Decide where the agent stops and asks a human. That line matters more than the model.
  • Stay with it after launch. Watch how people use it and fix what slows them down.
  • Sit in on client conversations with the founders. They have spent nearly 40 years between them watching business systems fail. Learn from their scars instead of collecting your own.
  • What you will learnHow to build with AI agents properly, not prompt and pray.
  • How to talk to an operator who is short on time and has heard every pitch, and come away with the real problem.
  • How real operations software works, and why it is harder than it looks.
  • How an early company decides what to build and what to kill.
  • Zero coffee-run skills. Sorry.
  • Who you areYou have built something real and the commit history proves it.
  • You can explain every line of your own code, including the lines an AI wrote.
  • You can explain what you built to someone who does not code, such as an operations lead or a business owner.
  • You ask questions before you start coding.
  • You already live in AI tools and have opinions about them.
  • You ship first, polish second and say so when something is broken.
  • A degree is nice. Proof of building is nicer.

What you will build withWe pick tools for the job. Tell us when a better one shows up. Today that means:

  • Python or TypeScript
  • Postgres, such as Supabase
  • Workflow tools like n8n
  • LLM APIs from OpenAI, Anthropic or Google, plus tool calling, MCP and evals
  • Git and pull requests
  • Cloud deploys on Railway, AWS or Azure
  • Microsoft 365 and Graph, since many clients run on Microsoft

You do not need all of it. You need one language you know well and the habit of picking up the rest.

  1. How we hireWe read your commits.
  2. A 30-minute call where you walk us through your own code.
  3. A short assignment on sample data.
  4. A conversation where you work through a real problem with us.

Bonus pointsYou already build with AI coding agents, you have shipped something people outside your class use and you have caught yourself saying “I wonder if an agent could do that.”

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