1 день назад
AI Developer Intern
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Developer Intern (Python/AI): Building production AI agent systems, Python services, APIs, and automation workflows with an accent on tool integrations, data pipelines, evaluation, and guardrails. Focus on developing agent capabilities, integrating external services, debugging across the stack, and improving testing and CI/CD infrastructure.
Location: Singapore, SG
Company
operates a small, fast-moving AI team building production systems that combine software engineering with AI capabilities.
What you will do
- Build and maintain Python services and APIs supporting AI agent systems and automation workflows.
- Develop and test agent capabilities, including tool integrations, data pipelines, and multi-step workflows.
- Improve evaluation, metrics, and guardrails for autonomous agents.
- Integrate data sources, services, and APIs into agent execution environments.
- Contribute to CI/CD pipelines, testing infrastructure, developer tooling, and documentation.
- Debug, investigate, and fix issues across the stack while learning new tools and frameworks.
Requirements
- Strong computer science fundamentals, including data structures, algorithms, and systems thinking.
- Strong proficiency in Python.
- Knowledge of version control, testing, code review, and structured debugging.
- Familiarity with APIs, backend concepts, and terminal or CLI environments.
- Curiosity about AI and machine learning, including a basic intuition for how LLMs work.
- Self-driven problem-solving skills and the ability to write clean, well-tested code.
Nice to have
- JavaScript or TypeScript experience.
- Hands-on experience with LLMs, prompt engineering, tool calling, structured outputs, or RAG.
- Exposure to machine learning concepts, embeddings, model evaluation, or computer vision.
- Experience with GCP or AWS, robotics, industrial automation, or AI-assisted development tools.
Culture & Benefits
- Hands-on internship focused on shipping real production code.
- Fast-moving AI environment with learning through practical engineering work.
- Opportunity to work across agent systems, automation, developer tooling, and multiple technical domains.
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