Head of AI & Agent-Based Production Systems

Deeprec.Ai

Barcelona

Presencial

EUR 120.000 - 190.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

DeepRec.ai in Barcelona is seeking a Head of Machine Learning to set the AI strategy and lead the technical direction of the company.

You will design and deploy production-grade agent-based AI systems for complex, multi-step workflows, shape the architecture from day one, and work directly with the founders to translate bold ideas into scalable solutions.

This role demands hands-on backend work, strong ML instincts, and a track record of delivering reliable, low-latency systems.

Formación

  • Strong Python backend and FastAPI experience.
  • Production-level LLM applications with multi-agent architectures.
  • Leadership in technical decisions on LLMs/SLMs.
  • Focus on evaluation, observability, and reliability.
  • Solid ML and NLP fundamentals.
  • Experience with tool-calling, orchestration, and multi-agent systems.

Responsabilidades

  • Own the company's AI strategy and technical direction.
  • Design and build production-ready agentic AI systems for complex workflows.
  • Implement tool-calling, structured outputs, and multi-agent orchestration.
  • Develop evaluation, testing, and feedback frameworks.
  • Deliver reliable AI systems with latency, scalability, observability, cost, and resilience.
  • Transform manual workflows into deterministic AI-driven systems.
  • Research and implement state-of-the-art AI technologies.

Conocimientos

Strong Python backend engineering
Excellent knowledge of FastAPI
Production LLM applications
Lead technical decisions around LLMs/3
Observability and reliability
ML/NLP fundamentals

Herramientas

Python
FastAPI
LangGraph
PostgreSQL
Vector Databases
GCP
Docker

Descripción del empleo

DeepRec.ai in Barcelona is seeking a Head of Machine Learning to set the AI strategy and lead the technical direction of the company.

You will design and deploy production-grade agent-based AI systems for complex, multi-step workflows, shape the architecture from day one, and work directly with the founders to translate bold ideas into scalable solutions.

This role demands hands-on backend work, strong ML instincts, and a track record of delivering reliable, low-latency systems.

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