Senior AI Engineer: GenAI & Autonomous Legal Agents

Jus Mundi

Paris

Hybride

EUR 110 000 - 150 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Hybrid working
Private health insurance
Restaurant vouchers
5 weeks vacation
Relocation assistance
Global remote up to 8 weeks
JM Fest events
Training & development

Résumé du poste

Jus Mundi is seeking a Senior AI Engineer to own applied AI systems, including search relevance, RAG over multilingual legal documents, and autonomous research agents. You will shape technical roadmaps, ship production features, and mentor teams.

Strong emphasis on agent orchestration, evaluation, and synthetic data drives will define success. The role blends hands-on model work with system design and cross-team collaboration, reporting to the AI leadership.

Qualifications

  • Proven track record shipping LLM-powered features to production with measurable impact.
  • Strong command of vector databases, retrieval, and RAG architectures.
  • Hands-on experience building agent orchestration loops and memory systems.
  • Deep understanding of evaluation methods and benchmarking for AI systems.

Responsabilités

  • Lead design and ship AI features with measurable product impact.
  • Own retrieval relevance, agent orchestration, and memory management.
  • Build and maintain evaluation pipelines and regression suites.
  • Mentor engineers, review code, and contribute to RFCs.

Connaissances

Applied AI Depth
Retrieval & RAG
Agentic Systems
Evaluation & Benchmarking
Fine-Tuning
Synthetic Data
Python for AI
LangChain
LlamaIndex
API Design
OpenAI API
Hugging Face

Outils

OpenAI API
Hugging Face

Description du poste

Jus Mundi is seeking a Senior AI Engineer to own applied AI systems, including search relevance, RAG over multilingual legal documents, and autonomous research agents. You will shape technical roadmaps, ship production features, and mentor teams.

Strong emphasis on agent orchestration, evaluation, and synthetic data drives will define success. The role blends hands-on model work with system design and cross-team collaboration, reporting to the AI leadership.

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