INTERNSHIP DETAILS

Software Engineer Intern (AI)

CompanyThales
LocationSingapore
Work ModeOn Site
PostedJuly 21, 2026
Internship Information
Core Responsibilities
Research and develop AI prototypes focusing on RAG, Agentic AI, and managed services to improve operational efficiency. Collaborate with supervisors to apply fine-tuning techniques and customize models for specific business use cases.
Internship Type
full time
Company Size
65658
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Thales (Euronext Paris: HO) is a global leader in advanced technologies for the Defence, Aerospace, and Cyber & Digital sectors. Its portfolio of innovative products and services addresses several major challenges: sovereignty, security, sustainability and inclusion. The Group invests more than €4 billion per year in Research & Development in key areas, particularly for critical environments, such as Artificial Intelligence, cybersecurity, quantum and cloud technologies. Thales has more than 83,000 employees in 68 countries. In 2024, the Group generated sales of €20.6 billion.
About the Role
Location: SINGAPORE, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

Thales Singapore Engineering Competence Centre (ECC) is a well-established R&D and engineering centre serving major customers worldwide in Digital Identity and Security domains ranging from mobile connectivity, IoT, banking & payment to government solutions.

Objective:

  • Investigate and experiment with open source AI technology stacks and industrial AI service providers.
  • Prototype AI features that improve operation efficiencies or enhance customer experiences.
  • Support industrialization of Prototypes.

Responsibilities:

  • Research and develop in areas such as RAG, Agentic AI, and AI managed services – build PoC to showcase and inspire new ideas.
  • Develop and refine tools/functions that align with specific business unit use cases.
  • Explore and apply fine-tuning techniques to customize models for specific domain tasks, optimising their performance and relevance.
  • Collaborate closely with the supervisor, gaining insights into AI’s role in real-world business applications.

Requirements:

  • Education: Computer Science student with a good foundation in Data Science.
  • Technical Skills:
    • Proficiency in Python, Docker Compose, and basic Linux commands.
    • Familiarity with open-source frameworks and tools, including GitHub.
  • Traits:
    • Independent and analytical thinker.
    • Open-minded, with a proactive approach to problem-solving
  • Commitment: Able to commit on a full-time basis, for ideally 6 months (or a minimum of 5 months)

Learning Outcomes:

  • Hands-on experience in latest GenAI research and practical applications.
  • Opportunity to work on high-impact projects directly supporting business objectives.
  • Mentorship and guidance from industrial supervisor, with a focus on professional development in GenAI.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

Key Skills
PythonDocker ComposeLinuxGitHubRAGAgentic AIFine-tuningData Science
Categories
SoftwareTechnologyEngineeringData & AnalyticsScience & Research