AI Engineer / NLP, Marcoussis

Within the Data&AI team, you design and industrialize agent-based and NLP systems capable of reasoning, planning, and acting autonomously. Your mission is to transform generative AI technologies into robust, scalable products delivering measurable business value. You drive the agentic vision across the organization and structure governance, performance measurement, and cost control of AI systems.Responsibilities

Scoping&Architecture

Translate business needs into structured technical specifications Design multi-agent architectures and define orchestration mechanisms Develop autonomous agents integrated into existing workflows Define performance KPIs for agentic systems Implement governance frameworks (security, traceability, auditability)

Generative AI&NLP

Build chatbots and document‑based intelligent agents Evaluate and implement LLM strategies adapted to use cases:

RAG GraphRAG Lightweight fine‑tuning Query rewriting

Manage embeddings, semantic search, and indexing pipelines Process structured and unstructured data (PDFs, standards, emails, multilingual corpora) Address bias mitigation and cultural adaptation in language models

Industrialization&Performance

Deploy and monitor NLP models in production (APIs, microservices, CI/CD) Implement advanced observability (logs, traces, metrics) Optimize large‑scale token consumption and cost management Ensure data security, GDPR compliance, and access governance Rapidly prototype agent workflows to validate technical feasibility before scaling

Collaboration&Leadership

Work closely with AI Engineers and Data Scientists on:

Model selection Fine‑tuning strategies Evaluation frameworks

Lead structured technology watch and share innovations internally Contribute to technical community engagement, mentoring, and conferences

Qualifications

Master’s degree (or equivalent) in Computer Science or Artificial Intelligence 4–6+ years of experience in AI / NLP (or demonstrable project‑based expertise) Hands‑on experience with hosted or self‑managed LLMs Practical expertise in embeddings, RAG pipelines, evaluation, and observabilityProven experience with Azure cloud environments Skills

Strong Python expertise (FastAPI, Flask, data tooling) Proficiency in C# or C++ for complex AI applications REST API architecture, SDKs, and system integration Agent orchestration frameworks (e.g., LangChain or equivalent) HuggingFace, MLflow, and open‑source AI tooling Advanced PostgreSQL (SQL)Docker and containerization Azure ecosystem:

Cognitive Services AI Foundry Azure Search

Knowledge of GCP or AWS is a plus Solid MLOps / LLMOps culture (versioning, reproducibility, environment management) Must Have

Proficiency in Python for developing computer vision algorithms. Knowledge of deep learning frameworks (PyTorch, TensorFlow). Ability to read and understand scientific articles in English. Nice to Have

Azure IaaS infrastructure expertise Team leadership or Tech Lead experience End‑to‑end AI solution delivery (scoping, estimation, development, audit, optimization) Voice AI / TTS technologies Microsoft AI-102 – Azure AI Engineer Associate certification Soft Skills

Structured technological curiosity Ability to explain complex AI concepts to non‑experts Autonomy and rigor Strong product mindset and business impact orientation Collaborative mindset What We Offer

Hybrid work model with up to 2 remote workdays per week Comprehensive health benefits to support you and your family. Opportunities for internal mobility and career advancement A collaborative, international work environment driven by innovation. Employee events and initiatives that foster community and creativity.Access to the company’s CSE (Comité Social et Économique), offering cultural, leisure, and social benefits. A strong focus/emphasis on work‑life balance L-Acoustics supports personal/professional development, diversity, and community engagement—ensuring that every newcomer feels empowered to grow, contribute,and thrive from day one.

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