Applied AI Engineering Intern — Real-World Impact

Univers; Singapore; On-site; SGD 11,000 - 22,000; Part time

Job summary

Univers invites an AI Forward Deployed Engineering (AI FDE) Intern to collaborate with AI scientists, engineers, and product teams on real-world operational challenges across industries. You will learn to turn complex problems into concrete AI use cases and prototype practical solutions with measurable impact.

You will gain hands-on experience with foundation models, multimodal AI, ML engineering, and the AI solution lifecycle, from research to production-ready prototyping, contributing to

Qualifications

• Pursuing degree in a relevant field.
• Strong Python programming skills.
• Experience with ML/AI concepts.
• Excellent communication and teamwork.

Responsibilities

• Collaborate with AI scientists to develop prototypes.
• Explore AI technologies including LLMs, computer vision, multimodal AI, AI agents.
• Build AI applications, intelligent workflows, and agentic systems.
• Assist in evaluating, adapting, and integrating foundation models.
• Translate ambiguous operational challenges into clear technical solutions.
• Contribute to AI experiments, model evaluation, benchmarking, and rapid prototyping.
• Collaborate across AI scientists, engineers, product managers, GTM teams, and domain experts.
• Contribute to technical documentation, demonstrations, presentations, and knowledge sharing.
• Continuously learn emerging AI technologies and explore applications to real problems.

Skills

Python programming

Analytical thinking

Team collaboration

Communication skills

Curiosity/learning

Education

Bachelor's/Master's/PhD candidate in CS/Engineering/AI/Data Science

Tools

PyTorch

Job description

Univers invites an AI Forward Deployed Engineering (AI FDE) Intern to collaborate with AI scientists, engineers, and product teams on real-world operational challenges across industries. You will learn to turn complex problems into concrete AI use cases and prototype practical solutions with measurable impact.

You will gain hands-on experience with foundation models, multimodal AI, ML engineering, and the AI solution lifecycle, from research to production-ready prototyping, contributing to