Horizon Labs – AI Software Engineer Intern

About the Company

Horizon Labs is an AI-studio focused on building AI-enabled consumer ventures. We operate like a startup factory with experienced teams, frameworks, and infrastructure and look for real-world problems that have meaningful AI solutions and focus on building within the consumer and healthcare verticals. Our model involves incubating ideas, launching startups, and scaling growth globally.

About The Role

We're looking for an AI Software Engineer to build reliable, production-grade AI features and systems across our venture portfolio. You'll work on the end-to-end stack that powers AI-enabled products. That means model integrations, backend services, data pipelines, evaluation harnesses, and safety and reliability tooling.

What You'll Do

Build AI-enabled features and internal tools that improve user value and team execution.

Implement model and tool integrations (LLMs, vector DBs, search, workflow automation) with strong reliability and security practices.

Design and maintain evaluation workflows to measure quality, correctness, latency, and cost.

Improve system observability and guardrails to ensure safe, consistent behaviour in production.

Collaborate cross-functionally to translate product needs into robust technical solutions.

What We Look For

Currently pursuing or recently completed a relevant degree, ideally from leading universities such as NUS, NTU, SUTD, and SMU. Strong candidates from other institutions will also be considered.

Strong software engineering fundamentals with experience shipping production systems.

Proficiency in Python and at least one backend language (e.g., TypeScript/Node.js, Go, or Java).

Experience integrating LLM APIs or open-source models, including prompt design and structured output patterns.

Familiarity with ML/AI infrastructure concepts such as embeddings, vector search, retrieval, and model evaluation.

Comfort with cloud services (AWS, GCP, or Azure), CI/CD, and observability (logging, metrics, tracing).

High attention to detail and discipline in testing, monitoring, and documentation.

Ability to work in ambiguity and iterate quickly with product, design, and operations.

Why Apply

You'll work close to real product problems, ship AI features end-to-end, and develop strong judgement for what it takes to make AI systems reliable in production.