Technical Lead – AI Generative Systems

Role within a key client in the tourism sector. Hybrid format with two days per week on‑site near Adolfo Suárez airport.

Responsibilities

- Design, develop and evolve generative AI systems (agentic and RAG) in production.
- Integrate models and agents with platforms and business systems.
- Act as senior technical reference, providing architectural insight and best practices to other teams and the business.

Qualifications

- Knowledge and experience in designing agentic systems: implement in production with multi‑agent orchestration, complex flow execution, state and memory management.
- Robust integration of corporate tools and APIs with operational reliability criteria.
- Experience applying context protocols/standards such as MCP/A2A.
- Experience in Retrieval‑Augmented Generation (RAG) at scale: document ingestion (parsing, cleaning, metadata, chunking, context strategies), embeddings, vector stores, retrieval tuning, reranking, design traceable responses with grounding control and hallucination mitigation, and structured data RAG (e.g., Text2SQL) or Knowledge Graph RAG.
- Understanding of generative model architectures based on Transformers: embeddings, long context, criteria for prompting, RAG, fine‑tuning.
- Proficiency in orchestration frameworks and application building (e.g., LangChain, LangGraph, ADK).
- Evaluation, operation and control:



define and use evaluation frameworks for generative AI applications, continuous production monitoring, quality metrics, business impact signals, and security/guardrail mechanisms.
- Experience integrating AI solutions with corporate systems via APIs, adhering to real security, privacy, and regulatory compliance constraints.
- Engineering mindset: software quality, observability, security, scalability, cost/latency control, operation and maintenance of GenAI systems in production (LLMOps/MLOps).
- Experience working in cloud environments, preferably Google Cloud Platform (GCP).

Benefits

- Professional growth support: technical training, certifications, Udemy Business, TechDays, Meetups.
- Flexible schedule: 8:30‑18:00 (Monday‑Thursday) and 8‑15 (Friday); summer intensive 8‑15.
- Paid time off: 26 days (22 vacation, 2 versátil, 24/31 December public holidays).
- Team building activities.
- Employee recognition and feedback culture.
- Flexible compensation package (medical insurance, transport, childcare vouchers, restaurant vouchers).
- Special occasions: surprise events for anniversaries, birthdays, births.

Equal Opportunity Statement

In knowmad mood we commit to equal opportunities and respect for diversity. We apply a Plan of Equality and the principle of non‑discrimination in all our selection processes.

#J-18808-Ljbffr

📌 AI Technical Lead (Híbrido Madrid) - Madrid, Comunidad de Madrid, Spain
🏢 knowmad Mood
📍 Madrid