Job description

You'll work on real AI systems used across our portfolio companies, building agentic workflows that can plan, execute, use tools, evaluate outcomes, and self-correct. This is hands-on AI engineering. You'll be expected to prototype quickly, connect models to real systems, test what works, debug what doesn't, and help move useful AI workflows 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 Gemino AI — Building AI technology for industrial control and autonomous operations. Your AI work may include: • Designing and building AI agents and multi-agent workflows • Integrating LLMs with APIs, databases, internal systems, and third-party tools • Building automation pipelines and backend services for real operational use cases • Developing agent logic, tool use, memory, and workflow orchestration • Testing, debugging, and improving the reliability of AI systems • Experimenting with different models and technical approaches • 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 hands-on experience with Python or a similar language, APIs, integrations, and technical systems • Have a solid understanding of AI, machine learning, software development, or LLM-based 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 tell us about what you've built. If you have a GitHub profile, portfolio, AI project, automation, application, university project, or technical work, we'd be interested to see it.

Requirements

Must-haves

You'll work on real AI systems used across our portfolio companies, building agentic workflows that can plan, execute, use tools, evaluate outcomes, and self-correct.
This is hands-on AI engineering. You'll be expected to prototype quickly, connect models to real systems, test what works, debug what doesn't, and help move useful AI workflows into production.
Depending on team needs, current projects, and your interests, you may work across:
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 — Building AI technology for industrial control and autonomous operations.
Designing and building AI agents and multi-agent workflows
Integrating LLMs with APIs, databases, internal systems, and third-party tools
Building automation pipelines and backend services for real operational use cases
Developing agent logic, tool use, memory, and workflow orchestration
Testing, debugging, and improving the reliability of AI systems
Experimenting with different models and technical approaches
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.
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 hands-on experience with Python or a similar language, APIs, integrations, and technical systems
Have a solid understanding of AI, machine learning, software development, or LLM-based 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.
4-6 month internship in Bali, Indonesia

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonllm

Platform: manatal
Effort: medium