Stage Innovation : Ingénieur Intelligence Artificielle / NLP
Core
Research and development of operational AI services, natural language processing (NLP), and multi-agent systems to solve client challenges in banking, fintech, and enterprise automation.
Role type
Intern (Stage) - AI/NLP Engineer
Builds
Proof-of-concept demonstrators, experimental platforms for natural language-to-executable code, multi-agent orchestration tools, and LLMOps solutions.
Domain
Artificial Intelligence, Natural Language Processing, Multi-Agent Systems, Fintech/Banking
Deliverable
production ML models | product features | research
Required skills
Python, Java, NLP (BERT, NER, LLMs), Deep Learning, Prompt Engineering, Spacy, Flask, Pandas, Hugging Face Transformers
Preferred skills
Agent protocols (AP2, A2A, MCP), LangChain, LangGraph, Vector databases, LLMOps/AgentOps, LoRA fine-tuning, Graph RAG
Technologies
Python, Java, Spacy, Flask, Pandas, Hugging Face, LangChain, LangGraph, MCP, Langfuse
Responsibilities
Develop autonomous payment demonstrators and analyze security/architecture of Universal Commerce Protocol (UPC); Experiment with converting natural language scripts to executable code; Design conversational agents for multi-tool environments; Optimize semantic routing for LLM architectures; Address LLMOps challenges regarding observability, security, and resilience.
Seniority
Intern (Final year engineering student)
