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Thales

Global defense and aerospace electronics

Data & AI Agentic Systems Engineer Intern

AI Application EngineeringConfirmed live in the last 24 hours
InternshipNo salary listed

About the Job

Requirements

  • The candidate must be preparing a BAC+5 degree at an engineering school, business school, or university, specializing in artificial intelligence, machine learning, data science, or distributed systems.
  • The candidate should have advanced proficiency in Python and be able to develop complex applications or automations.
  • The candidate should be proficient with Docker and setting up and using CI/CD pipelines under GitLab.
  • The candidate should have a good command of large language models and prompt-engineering techniques.
  • The candidate should have experience with artificial intelligence frameworks such as LangChain or LangGraph.
  • The candidate should know vector databases such as Qdrant, Chroma, or equivalent solutions.
  • The candidate should understand Retrieval-Augmented Generation architectures and embedding mechanisms.
  • The candidate should have knowledge of SQL and PostgreSQL.
  • The candidate should know large-language-model evaluation methods, particularly RAGAS.
  • The candidate should be comfortable working in Linux environments and with Bash scripts.

Responsibilities

  • Implement and improve specialized artificial-intelligence agents.
  • Write and optimize system prompts and configurations for each agent.
  • Develop agentic skills.
  • Implement effective agentic artificial-intelligence architecture patterns, including ReAct, Plan&Execute, ReWOO, and Reflection.
  • Implement unit and integration tests for agents and skills.
  • Implement the embedding and continuous-learning pipeline.
  • Evaluate embedding quality and improve the relevance of semantic searches.
  • Develop and maintain MCP servers using FastMCP.
  • Implement new MCP tools based on business needs.
  • Test, document, and monitor each connector using real-world use cases.
  • Design and run benchmarks to compare the performance of on-premises models.
  • Implement automated evaluation pipelines using LLM-as-judge, RAGAS, and custom metrics.
  • Contribute to fine-tuning work.
  • Measure quality metrics including confidence, relevance, consistency, and response time.

Desired Qualifications

  • Autonomy, analytical ability, curiosity, teamwork, and being proactive are identified as assets.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

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