AI ENGINEER INTERN

Oddo Bhf; Paris; On-site; EUR 13,000 - 20,000; Full time

Job summary

ODDO BHF Asset Management in Paris is offering a final-year internship to design and build AI agents and RAG pipelines across business lines. You will collaborate with stakeholders, present findings, and contribute to an enterprise AI platform.

A Master’s in AI/Data Science is required, with a strong interest in applied AI. The position is based in Paris with potential for a permanent contract after success.

Qualifications

• Master's degree in AI, Data Science, or related field.
• Final-year internship candidate preferred.
• Strong knowledge of AI and ML.
• Experience with Python and AI frameworks.
• Ability to communicate with non-technical stakeholders.

Responsibilities

• Design and develop AI agents for real-world use cases.
• Build robust RAG pipelines and agent-based architectures.
• Collaborate with business teams to gather requirements.
• Present findings to management.
• Contribute to enterprise AI platform.

Skills

Artificial Intelligence

Machine Learning

Agent architectures

RAG systems

AI frameworks

Education

Master's degree in AI/Data Science

Tools

Python

AI frameworks

Job description

With EUR63bn assets under management as of December 31, 2024, and 4 investment centres based in Paris, Düsseldorf, Frankfurt, and Luxembourg, ODDO BHF AM is a leading asset manager in Europe and part of the Franco-German financial group ODDO BHF that was founded in 1849. It comprises ODDO BHF AM GmbH in Germany, ODDO BHF AM SAS in France, and ODDO BHF AM Lux in Luxembourg.

Within the COO organization, you report to the Head of Data & Digital Transformation for Asset Management.

At ODDO BHF Asset Management, AI is a tangible, business-driven initiative that already impacts all areas of the firm: Portfolio Management, Sales & Marketing, Risk & Compliance as well as Operations. The team designs and deploys AI agents in production with direct business impact. The technical environment includes LLM-agnostic architectures, RAG systems, and the orchestration of autonomous agents.

In this role, your primary responsibilities include:

• Design and develop AI agents to address real-world business use cases.
• Build robust RAG pipelines and agent-based architectures.
• Work directly with business teams to understand and define requirements.
• Present work, findings, and proposed actions to internal business partners and management.
• Contribute to a shared enterprise-wide AI agent platform.
• Participate in architecture and technology stack decisions.

The internship is based in Paris, with interactions with international teams.

What can you expect?

• Hands-on exposure to AI use cases within the asset management industry.
• Ownership and responsibility over architecture and technical decisions.
• Potential opportunity for a permanent position upon successful completion of the internship.
• Visible impact across multiple business teams and functions.

Final-year internship with the potential for a permanent contract (CDI) upon successful completion.

Profile & Skills

Education

• Master's degree (Engineering School, University, or Business School) with a specialization in AI, Data Science, or a related field.
• Final-year internship candidates are strongly preferred.

Technical Skills

• Strong knowledge of Artificial Intelligence and Machine Learning.
• Solid understanding of agent architectures and RAG systems.
• Proficiency in Python and modern AI frameworks.
• Strong interest in applied AI and real-world implementations.

Soft Skills

• Excellent communication skills, with the ability to interact effectively with non-technical stakeholders.
• Curious, open-minded, and eager to learn.
• Self-driven, autonomous, and able to iterate quickly.
• Working proficiency in English; French or German is a plus.

This position is open to people with disabilities. We will support you during the recruitment process and once you have been recruited, to adapt and/or facilitate your life within the company. Do not hesitate to ask questions during the HR interview.