AI Developer Intern

Augmentus; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Augmentus in Singapore seeks a hands-on software engineer to build production-grade Python services and interfaces that power AI agents. You will implement tool integrations, data pipelines, and multi-step workflows while contributing to testing, logging, and robust documentation.

You will iteratively improve evaluation metrics, guardrails, and integration robustness, collaborating across data sources, services, and APIs.

Qualifications

• Solid CS fundamentals — data structures, algorithms, systems thinking.
• Self-driven problem solver — you don't wait to be told the next step.
• Good engineering habits — version control, testing, code review, structured debugging.
• Familiarity with APIs, backend concepts, and working in a terminal/CLI environment.
• Curiosity about AI/ML — you don't need deep experience, but you should have intuition for how LLMs work.

Responsibilities

• Build and maintain Python services and APIs that support the agent system and its automation workflows.
• Assist in developing and testing agent capabilities — tool integrations, data pipelines, multi-step workflows.
• Develop and improve evaluation, metrics, and guardrails for autonomous agents.
• Write clean, well-tested code with proper error handling, logging, and documentation.
• Integrate various data sources, services, and APIs into the agent's execution environment.
• Contribute to CI/CD pipelines, testing infrastructure, and developer tooling.

Skills

CS fundamentals

Problem solving

API design

Backend concepts

CLI experience

Debugging

Documentation

Education

Bachelor's degree in Computer Science

Tools

Git

CI/CD

Testing

Job description

You'll join a small, fast-moving AI team building production systems that combine software engineering with AI capabilities. This is a hands-on engineering role — you'll work on real features, ship real code, and learn by doing.

Build and maintain Python services and APIs that support the agent system and its automation workflows.

Assist in developing and testing agent capabilities — tool integrations, data pipelines, multi-step workflows.

Develop and improve evaluation, metrics, and guardrails for autonomous agents.

Write clean, well-tested code with proper error handling, logging, and documentation.

Integrate various data sources, services, and APIs into the agent's execution environment.

Contribute to CI/CD pipelines, testing infrastructure, and developer tooling.

Debug, investigate, and fix issues across the stack — independently where possible.

Pick up new tools, frameworks, and domains quickly as the team's needs evolve.

Requirements

Solid CS fundamentals — data structures, algorithms, systems thinking. You can reason through problems and write clean solutions.

Self-driven problem solver — you don't wait to be told the next step. You dig in, read docs, try things, and ask good questions when you're stuck.

Good engineering habits — version control, testing, code review, structured debugging.

Familiarity with APIs, backend concepts, and working in a terminal/CLI environment.

Curiosity about AI/ML — you don't need deep experience, but you should have some intuition for how LLMs work and a genuine interest in building with them.

Good to have

Hands-on experience with LLMs (prompt engineering, tool calling, structured outputs, RAG).

Exposure to ML concepts (training, evaluation, embeddings, basic model architectures).

Familiarity with computer vision concepts (detection, segmentation, classification).

Experience with cloud platforms (GCP, AWS).

Experience with robotics or industrial automation domains.

Comfort with AI-assisted development tools (e.g. Claude Code, AI code assistants).