GenAI Engineer Intern: Build Real-World AI Features

Cloudsine; Singapore; On-site; SGD 24,000 - 36,000; Full time

Benefits offered by this job

Mentorship

Hands-on GenAI projects

Portfolio building

Learning-focused environment

Job summary

Cloudsine is seeking an enthusiastic undergrad to help research and design GenAI features, collaborating with product teams to shape the roadmap. You will work in agile sprints, prototyping with Python, Go, and React, and connecting LLM APIs via LangChain and embeddings. You’ll also contribute to real-world AWS cloud infrastructure and DevOps tasks.

You’ll document technical use cases and publish blogs to illustrate practical GenAI applications in a fast-paced environment, based in Singapore.

Qualifications

• Ideal 3rd year undergrad anchored on technical engineering or coding work.
• Solid fundamentals: APIs, databases, software basics and AWS concepts.
• Hands-on with LLM stacks: OpenAI/Anthropic, LangChain, embeddings, vector DBs.
• Comfortable prototyping full‑stack work (frontend, backend, databases, cloud).
• Strong soft skills and teamwork in presenting ideas.
• Based in Singapore.

Responsibilities

• Research, propose and design GenAI features for LLM/Agentic models.
• Collaborate with Product Management to define GenAI roadmap and requirements.
• Participate in Sprints for Agile development.
• Develop and test features using Python, Golang, and ReactJS.
• Integrate APIs to connect to LLMs and evaluate performance.
• Maintain real-world AWS Cloud Infrastructure and DevOps support.
• Create technical use cases and blogs to articulate applications.

Skills

APIs

Databases

Software basics

AWS Cloud

LLM stacks

LangChain

Embeddings

Vector DBs

Full-stack

Teamwork

Education

3rd year undergrad in CS/IS/DS

Tools

OpenAI APIs

Anthropic APIs

LangChain

LlamaIndex

Job description

Cloudsine is seeking an enthusiastic undergrad to help research and design GenAI features, collaborating with product teams to shape the roadmap. You will work in agile sprints, prototyping with Python, Go, and React, and connecting LLM APIs via LangChain and embeddings. You’ll also contribute to real-world AWS cloud infrastructure and DevOps tasks.

You’ll document technical use cases and publish blogs to illustrate practical GenAI applications in a fast-paced environment, based in Singapore.