Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Agent Research & Application Intern

Tencent
Greater London
1 day ago
Create job alert

About the Hiring Team

Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.

We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

What the Role Entails

This role focuses on advancing AI Agent architecture, reasoning, and autonomy through applied research and experimentation. Interns will work on cutting-edge projects involving foundation models, planning algorithms, and multi-agent systems, contributing to both theoretical innovation and practical applications.

Key Responsibilities

• Conduct research on AI foundation models to enhance reasoning and data-driven analytical capabilities.

• Design and develop advanced planning and decision-making algorithms that enable Agents to autonomously perform complex tasks and improve operational efficiency.

• Investigate tool-use mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments.

• Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems.

Who We Look For

Qualifications

• Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field.

• Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills.

• Solid understanding of machine learning and deep learning algorithms (, neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience.

• Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability to independently develop and train models.

Preferred Qualities:

• Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration.

• Ability to bridge theoretical research and practical application.

• Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus.

• Proficiency in both English and Mandarin will be a plus.

• Minimum 6-month full-time internship preferred.

#LI-RL1

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Related Jobs

View all jobs

Applied AI Engineer

Senior Full Stack Engineer

Full Stack Engineer

Full Stack Engineer

Performance Team Coordinator

Google Cloud Platform Tech Lead

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Space Industry Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK space‑sector hiring has shifted from pedigree‑first screening to capability‑driven evaluation across the full stack—spacecraft systems, payload/RF, flight software, GNC/ADCS, propulsion, structures/thermal, AIT (assembly–integration–test), mission/ground operations, reliability/radiation, and compliance (ECSS, export control). Employers want proof you can build, test, operate and scale space systems safely and economically. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for satellite/spacecraft engineers, payload & RF/MM‑wave, flight & ground software, GNC/ADCS, power/thermal, AIT/test, mission ops, data/EO, and space product/TPM roles. Who this is for: Systems engineers, payload/RF engineers, flight software & FDIR, GNC/ADCS, power/thermal/structures, propulsion, AIT/test, reliability/radiation, QA/compliance, ground segment/cloud, mission operations, EO/data processing, and product/programme managers targeting roles in the UK space ecosystem.

Why Space Careers in the UK Are Becoming More Multidisciplinary

The UK’s space sector is growing fast — from satellite systems and Earth observation to satellite communications, space robotics, propulsion, space data analytics, and mission operations. But the nature of space work is changing. Projects involving satellites, launch systems, space robotics and ground infrastructure are now embedded in regulation, public perception, human interaction and cross-disciplinary design. Space careers in the UK used to be dominated by engineers, astrophysicists, systems analysts and telemetry experts. Today, they increasingly demand fluency not only in aerospace, software, electronics & data, but also in law, ethics, psychology, linguistics & design. After all, space systems operate under treaties, privacy constraints, public scrutiny, international collaborations and human interfaces. In this article, we explore why space careers in the UK are becoming more multidisciplinary, how those allied fields intersect with space work, and what job-seekers & employers must do to thrive in this evolving cosmos.

UK Space Team Structures Explained: Who Does What in a Modern Space Department

The UK space sector is rapidly expanding. With growth in satellite design, Earth observation, communications, launch systems, space science, downstream applications, and regulatory and operational services, there’s rising demand for skilled professionals across many disciplines. Building a high-impact space organisation requires well-defined team structures, clear roles, strong collaboration, and alignment across engineering, science, operations, regulation, and commercial functions. If you are applying for roles via UKSpaceJobs.co.uk or hiring into your company, this guide will help you understand the principal roles you’ll find in a space team, how they interact during mission lifecycles, what skills UK employers expect, salary norms, common challenges, and best practice for structuring space teams that succeed.