Live opening · Posted 7 days ago
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About the role
Description supplied by the original job listing.
You'll work on production AI systems across our portfolio companies, where language models get wired into real tools, real data, and decisions that matter.
This is hands-on AI engineering. You'll be expected to prototype fast, connect models to live systems, test what holds up, debug what breaks, and push the workflows that work into production.
Our group has spent thirty years building companies across New York, London, and Tokyo. Today, our teams operate from a 4,000 sqm campus in Canggu, Bali. Across the group, we have raised and deployed more than $150M and operate portfolio companies across energy, bioproduction, and AI infrastructure.
Depending on team needs, current projects, and your interests, you may work across:
Zero-X
Thermochemical conversion and distributed energy, with 200+ systems live across 11 countries.
Seraph Group
Decentralized bioproduction combining AI, robotics, and synthetic biology on one platform.
Gemino AI
The AI infrastructure layer supporting systems and workflows across the group.
Your AI work may include:
Integrating LLMs with APIs, databases, internal systems, and third-party tools
Designing and building AI agents and multi-agent workflows
Developing agent logic, tool use, memory, and workflow orchestration
Building automation pipelines and backend services for real operational use cases
Experimenting with different models and technical approaches
Testing, debugging, and improving the reliability of AI systems
Turning prototypes into maintainable, production-ready systems
The focus is not on academic exercises. You will work on AI connected to real companies, real users, and real engineering challenges.
We're looking for candidates who:
Have completed or are close to completing a university degree in Computer Science, Software Engineering, AI Engineering, Machine Learning, Data Science, or a closely related technical field
Have a solid understanding of AI, machine learning, software development, or LLM-based systems
Have hands-on experience with Python or a similar language, APIs, integrations, and technical systems
Have experience through university projects, internships, personal projects, or other practical AI work
Can work independently, learn quickly, and solve technical problems
Are able to work fully on-site in Bali for 4-6 months
This internship can also be completed as part of a university internship requirement.
We don't expect you to already know our full stack, but you should have a strong AI and software foundation.
What we provide:
4-6 month internship in Bali, Indonesia
25-hour work week: 11 AM to 5 PM
On-campus rooms available at competitive rates
Assistance with the internship visa process
Daily lunch included
Strong interns can move into a full-time role across the group after the internship
Important:
This is an unpaid internship.
The position is fully on-site in Bali, Indonesia.
There is no remote or hybrid option.
Interested?
Apply below and point us at something you built. A repository, a deployed system, an automation running in production, or a paper you implemented all count.
Work arrangement
No
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