Lead the implementation of AI Generative solutions, ensuring technical quality, scalability, and alignment with business objectives.
Requirements
- Experience leading AI Generative projects in productive environments, with an end-to-end focus.
- Solid knowledge of GenAI architectures: RAG, autonomous agents, and LLM orchestration (LangChain, LangGraph, or similar).
- Experience in full-stack development of AI applications (Python, FastAPI/Flask, Node.js).
- Practical knowledge of Vector Databases (Pinecone, Chroma, pgvector).
- Experience working with relational and non-relational databases.
- Knowledge of MLOps, Docker, CI/CD, and cloud deployments (AWS, GCP, or Azure).
- Experience integrating APIs, webhooks, and low-code tools.
- Knowledge and application of Machine Learning models.
- Ability to interact with clients and stakeholders, understanding business needs.