Live opening · Posted 12 days ago
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About the role
Description supplied by the original job listing.
You'll build the AI systems our portfolio companies actually run on, agentic workflows that plan, call tools, check their own output, catch their own failures, and improve from there.
This is real AI engineering. You'll move fast on prototypes, wire models into live systems, test what holds up, tear out what doesn't, and get 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:
Turning prototypes into maintainable, production-ready systems
Building automation pipelines and backend services for real operational use cases
Designing and building AI agents and multi-agent workflows
Testing, debugging, and improving the reliability of AI systems
Integrating LLMs with APIs, databases, internal systems, and third-party tools
Experimenting with different models and technical approaches
Developing agent logic, tool use, memory, and workflow orchestration
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
Hands-on experience building real AI systems
On-campus rooms available at competitive rates
Assistance with the internship visa process
Daily lunch included
Opportunity for exceptional interns to be considered for future roles or continued collaboration with the group
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 show us what you've built. A GitHub profile, a portfolio, an AI project, an automation, an application, or a university project all count.
Work arrangement
No
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