AI Engineer NLP

LAcoustics is the world leader in premium professional sound systems for live events. From world-class artists on tour to major music festivals in every genre to opening and closing ceremonies of planetary sporting events we are the trusted choice of event professionals who require extreme reliability and fidelity show after show.

Designed and manufactured in Europe and available in 80 countries globally L-Acoustics employs over 1300 people worldwide with 20% of team resources devoted to R&D and application. Our products are built to the highest professional and sustainable standards which we continue to define and elevate.

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.

Responsabilities :

1. 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)

2. 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
  

3. 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
  

4. 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:

• Masters degree (or equivalent) in Computer Science or Artificial Intelligence
• 46 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 observability
• Proven 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

Certifications (Nice to Have)

• MS AI-102 Azure AI Engineer Associate
  

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

At L-Acoustics newcomers are welcomed into a dynamic and inclusive environment that blends technological excellence with human-centered values. New team members benefit from the following:

• 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 companys 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 engagementensuring that every newcomer feels empowered to grow contribute and thrive from day one.

We recognize that talent is multifaceted. Our commitment to valuing each individual giving equal opportunities to all and building a team enriched by a variety of backgrounds and experiences. What matters most to us is your passion your expertise and your drive to grow. We believe in creating an environment where people can do their best work and thrive together. Even if this role isnt an exact match we encourage you to apply. Your unique perspective could be just what our team needs.