Intern - Software

Valeo est une entreprise mondiale de haute technologie qui conçoit des solutions révolutionnaires pour réinventer la mobilité. Nous sommes un équipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilité dans le monde entier. Notre vision ? Inventer une mobilité plus verte et plus sûre, grâce à des solutions axées sur la conduite intuitive et la réduction des émissions de CO2. Nous sommes leaders dans nos domaines d'activité et reconnus comme l'une des plus grandes entreprises innovantes au monde.

Key Responsibilities

Design & Development~ Architect and implement comprehensive Agentic RAG pipelines utilizing frameworks such as LangChain, LlamaIndex, or CrewAI.

Vector Infrastructure~ Engage with vector databases (e.g., ChromaDB, Weaviate, or FAISS) to ensure efficient data indexing and retrieval.

Agent Orchestration~ Construct and coordinate multi-agent systems leveraging Tool-Use/Function Calling for interaction with external APIs and data sources.

Evaluation~ Develop and execute rigorous evaluation metrics (Evals) to assess agent performance, context adherence, and to minimize instances of hallucination.

Research~ Maintain current knowledge of the latest advancements in LLMs, Agentic AI architectures, and Generative AI research.

Required Skills & Experience
Strong Foundation~ Demonstrated proficiency in Python programming and fundamental knowledge of Machine Learning and Deep Learning.

Generative AI~ Prior academic or project experience with LLMs, RAG workflows, and vector embeddings.

Frameworks~ Familiarity with LangChain, LlamaIndex, or similar agentic orchestration tools.

Concepts~ A solid understanding of Prompt Engineering and the design principles governing autonomous AI agents.

Academics~ Currently pursuing the final year of a B.Tech. degree in Computer Science, AI/ML, or a related field from IIT Madras.

Additional Skills
Experience with multimodal RAG (encompassing text and images/tables).

Proficiency with deployment tools such as Docker or platforms like Streamlit/Gradio.

Contributions to relevant open-source AI projects or a robust GitHub portfolio.

Scope Of Activities

Literature review and benchmarking of RAG frameworks.

Development of initial prototypes and proof-of-concepts.

Integration with agent-based workflows.

Documentation of experiments, results, and learnings.

Optimization of prototypes (performance, accuracy, scalability).

Refinement of workflows and pipelines.

Implementation of monitoring and evaluation mechanisms.

Knowledge transfer and preparation of training materials.

Deliverables

Working prototypes demonstrating RAG capabilities.

Best practices and toolchain recommendations.

A technical report summarizing research findings.

An optimized and stable RAG solution.

Defined performance benchmarks and Key Performance Indicators (KPIs).

A handover package (comprising documentation, training content, and a deployment guide).

Position~
R&D Trainee/Apprentice/VIE

Département~
Software Design

Schedule~
Temps plein

Employee Status~
CDD (Fixed Term)

Type de contrat~
Trainee / Internship

Job Posting Date~

*Join Us

Being part of our team, you will join~

• one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
• a multi-cultural environment that values diversity and international collaboration
• more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
• a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo~ *