AI Forward Deployed Engineering (AI FDE) Intern

Univers; Singapore; On-site; SGD 17,000 - 30,000; Full time

Job summary

Univers is offering an AI Forward Deployed Engineering (AI FDE) Intern role in Singapore. You will collaborate with AI scientists, engineers, and product teams to turn real-world challenges into clear AI use cases, prototype solutions, and support production-ready implementations across industries.

You will gain hands-on experience with foundation models, multimodal AI, and modern AI engineering, while learning from experienced professionals and contributing to the full lifecycle from research

Qualifications

• Pursuing degree in CS/Engineering/AI/DS/EE
• Strong Python programming; PyTorch preferred
• Technical background in ML, LLMs, CV, multimodal AI, agentic systems
• Experience through coursework, research, internships is a plus
• Strong analytical and problem-solving skills
• Excellent written/verbal communication and collaboration

Responsibilities

• Collaborate with AI scientists and engineers to develop AI prototypes and PoCs.
• Explore modern AI tech including LLMs, CV, multimodal AI, agents, and AI engineering techniques.
• Build AI applications and intelligent workflows using enterprise data.
• Assist in evaluating and integrating foundation models for domain-specific apps.
• Translate complex problems into clear technical solutions with guidance.
• Contribute to experiments, model evaluation, benchmarking, and rapid prototyping.
• Work with product teams and domain experts throughout solution lifecycle.
• Document, demo, and share knowledge across teams.
• Learn emerging AI technologies and apply them to real problems.

Skills

Python programming

PyTorch familiarity

ML, CV, multimodal AI

Strong communication

Team collaboration

Education

Bachelor's degree or higher in CS/Engineering/AI

Pursuing Master's/PhD in AI/DS

Tools

Python

Git

Job description

About Univers

Univers provides the world’s most comprehensive decarbonization system.We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement. With 365 million sensors and smart devices connected, 845GW of renewable energy under management, and a community of over 500 customers, we’re helping the world’s leading businesses get the world to net zero—and what comes after it. For more information, please visit https://univers.com/

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.
• Any other adhoc tasks as assigned

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

• 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.