Lead AI

Responsibilities

• Chief Conductor of AI Innovation
• Steering AI strategy
• Management and leadership of AI teams
• Architecture and development of AI solutions
• Industrialization, MLOps and scaling
• Product integration and omnichannel
• Cross-functional facilitation and technology watch

Requirements

• Master of LLMs: Deep expertise in advanced Prompt Engineering, Fine-tuning (PEFT/Lo

  RA) and using APIs (Open

  AI, Anthropic, Mistral).
• Dev & Frameworks: Expert-level Python. Proficient with modern Gen

  AI frameworks: Lang

  Chain, Llama

  Index, Haystack.
• Vector Database: Proven experience with vector databases, ideally Qdrant (or Weaviate/Pinecone).
• Modern Stack: Comfortable with FastAPI, Docker, Kubernetes and CI/CD pipelines.
• Agent Ecosystem: Experience building and deploying agents using n8n, Lang

  Graph or Crew

  AI.
• Integrations: Able to connect third-party APIs (Twilio, Salesforce, etc.).