AI FDE Intern (Forward Deployed Engineering)

Univers; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Univers Global Impact AI Lab is seeking an AI Forward Deployed Engineering Intern to work with AI scientists, engineers, and domain experts to develop real-world AI solutions.

You will learn to translate real-world challenges into concrete use cases, prototype solutions, evaluate models, and contribute to production‑ready AI deployments, gaining hands-on experience with foundation models, multimodal data, and intelligent agents.

Qualifications

• Pursuing a degree in CS/Engineering/AI or related field.
• Strong Python programming and ML framework experience (PyTorch preferred).
• Background in ML, CV, multimodal AI, or related areas.
• Experience from coursework, research, or internships is a plus.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication; collaborative mindset.

Responsibilities

• Collaborate with AI scientists and engineers to develop AI prototypes and proof-of-concepts for real-world use cases.
• Explore and apply modern AI technologies, including large language models, computer vision, multimodal AI, AI agents, and modern AI engineering techniques.
• Build AI applications, intelligent workflows, and agentic systems using enterprise, operational, and multimodal data.
• Assist in evaluating, adapting, and integrating foundation models for domain-specific applications.
• Help translate ambiguous operational challenges into clear technical solutions with guidance from experienced team members.
• Contribute to AI experiments, model evaluation, benchmarking, and rapid prototyping.
• Collaborate with AI scientists, engineers, product managers, GTM teams, and domain experts throughout the solution development lifecycle.
• Contribute to technical documentation, demonstrations, presentations, and knowledge sharing.
• Continuously learn emerging AI technologies and explore how they can be applied to solve real-world problems.

Skills

Python

PyTorch

Problem solving

Communication

Education

Bachelor's degree (senior undergrad) / Master's / PhD candidate in CS/Engineering/AI

Tools

PyTorch

Git

Jupyter

Job description

Are you looking to build intelligent systems that move beyond digital experiments and into the physical world?

The Univers Global Impact AI Lab was established to bring advanced AI into the physical world, helping organizations transform how they operate, optimize resources, and make better decisions.

Our mission is to translate advances in AI into production-grade systems that bridge enterprise systems and physical operations, empowering organizations to solve complex real‑world challenges through intelligent decisions and actions.

We build AI that combines foundation models, multimodal data, operational intelligence, and intelligent agents to understand information from business systems alongside industrial assets, sensors, and operational workflows.

AI is moving from promise to accountability. Enterprises are looking beyond AI demonstrations and expect intelligent systems that deliver measurable outcomes in real‑world operations. The Univers Global Impact AI Lab is helping build the foundation for Physical AI by bringing together perception, reasoning, and operational intelligence to turn real‑world signals into meaningful actions. If you are excited about applying AI to solve real‑world problems and want to learn how advanced AI moves from research into production, this is an opportunity to work alongside experienced scientists and engineers while contributing to projects that create measurable impact.

About the Role

As an AI Forward Deployed Engineering (AI FDE) Intern, you will work alongside AI scientists, engineers, product teams, and domain experts to develop AI solutions for real‑world operational challenges across industries.

AI FDE is about turning ambiguous real‑world challenges into clear AI use cases, then applying advanced AI to build practical solutions that deliver measurable operational impact. You will learn how to understand complex operational challenges, identify the right AI opportunities, rapidly prototype solutions, and work across research, engineering, product, and domain expertise to deliver real‑world impact.

Throughout the internship, you will contribute across the AI solution lifecycle, from understanding problems and exploring technical approaches to building prototypes, evaluating AI models, and supporting production‑ready solutions. This is a hands‑on opportunity to learn how modern AI systems are developed and deployed in real‑world environments.

Responsibilities:

• Collaborate with AI scientists and engineers to develop AI prototypes and proof‑of‑concepts for real‑world use cases.
• Explore and apply modern AI technologies, including large language models, computer vision, multimodal AI, AI agents, and modern AI engineering techniques.
• Build AI applications, intelligent workflows, and agentic systems using enterprise, operational, and multimodal data.
• Assist in evaluating, adapting, and integrating foundation models for domain‑specific applications.
• Help translate ambiguous operational challenges into clear technical solutions with guidance from experienced team members.
• Contribute to AI experiments, model evaluation, benchmarking, and rapid prototyping.
• Collaborate with AI scientists, engineers, product managers, GTM teams, and domain experts throughout the solution development lifecycle.
• Contribute to technical documentation, demonstrations, presentations, and knowledge sharing.
• Continuously learn emerging AI technologies and explore how they can be applied to solve real‑world problems.

Qualifications:

• Currently pursuing a Bachelor's degree (senior undergraduate), Master's degree, or Ph.D. candidate in Computer Science, Engineering, Artificial Intelligence, Data Science, Electrical Engineering, or a related field.
• Strong programming skills in Python. Experience with PyTorch or similar machine learning frameworks is preferred.
• Technical background in one or more of the following areas: Machine Learning, Large Language Models, Computer Vision, Multimodal AI, Agentic Systems, Data Science and Software Engineering.
• Experience through coursework, research, personal projects, hackathons, or previous internships is a plus.
• Strong analytical and problem‑solving skills.
• Excellent written, verbal, presentation, and communication skills.
• Curious, self‑motivated, and eager to learn new technologies.
• Ability to collaborate effectively in multidisciplinary teams.

What You'll Gain

During this internship, you will have the opportunity to:

• Work on meaningful AI projects that address real operational challenges across multiple industries.
• Learn from experienced AI scientists, engineers, and product leaders.
• Gain hands‑on experience with foundation models, multimodal AI, AI agents, and modern AI engineering.
• Learn how AI solutions evolve from ambiguous real‑world problems into production‑ready systems.
• Experience the full AI development lifecycle, from research and rapid prototyping to deployment and operational impact.
• Develop both technical expertise and the communication skills needed to work effectively across engineering, product, and business teams.
• Build a strong foundation for a career in applied AI, AI engineering, or Physical AI.

This internship offers a unique opportunity to work on cutting‑edge AI technologies while helping shape how advanced AI is applied in the physical world.