Act as an evangelist for AI adoption, encouraging the day‑to‑day use of AI tools (generative AI, agents, etc.) among developers, product teams and other stakeholders.
Serve as a bridge between AI and Engineering: translate concepts such as RAG, LLMs and MCP into practical applications within the platform and products.
Coach and develop the team: actively promote the professional growth of team members through direct, continuous feedback and development plans.
Manage backlog and deliveries: collaborate with Product Owners and other stakeholders to ensure efficient prioritization and execution of tasks.
Ensure software quality and evolution: monitor metrics and performance indicators and use data to drive decisions.
Requirements
Strong conceptual knowledge of LLMs, RAG, MCP and autonomous agents, with the ability to contextualize these technologies at both practical and executive levels.
Prior experience as a Coordinator, Tech Lead or in a similar role within software development teams.
Experience managing indicators and performance metrics for high‑performing technical teams.
Excellent ability to delegate, communicate clearly and ensure alignment across multidisciplinary teams.
Experience managing organizational change and leading teams through transition periods.
Strong conflict‑resolution skills and a focus on maintaining a healthy team environment.
You will stand out if you have:
Knowledge of generative AI pipelines (ingestion, vectorization, prompt engineering, dynamic context)
Experience managing multidisciplinary technical teams that include developers, data engineers and AI specialists.