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# Cto - [225.000 €/Anuales]

- **Company:** Subdiagonal
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Distributed Systems, Python (Programming Language), PostgreSQL, Node.Js, Open Source Technology, Role-Based Access Control, Redis, Next.js, TypeScript, Management of Software Versions, ReactJS, Large Language Models, Multi-Agent Systems, Caching, Backend, Fastapi, Terraform, Webhooks, Docker
- **Published:** August 23, 2026
- **Apply:** https://www.buscojobs.com.es/cto-225-000-%E2%82%AC-anuales-en-orense-ID-368558095

## About the Role

Buscamos a alguien que sea muy técnico.
Con capacidad para construir arquitectura e infraestructura desde cero.
Qué vas a construir AI Agents - Tool calling y structured outputs - Agent orchestration y sistemas multi-agent - Memory y context management - Human-in-the-loop - Evals, guardrails y observabilidad - Model routing, retries y fallbacks LLM Infrastructure - OpenAI, Anthropic, Gemini y modelos open-source - RAG, embeddings y reranking - Semantic / hybrid search - Prompt & context versioning - Evaluación de calidad, latencia y coste Backend & Distributed Systems - APIs y arquitecturas event-driven - Async workers, queues y webhooks - Multi-tenancy y RBAC - Idempotency, caching y failure recovery - Sistemas escalables y seguros Platform Engineering Construiremos primitives reutilizables para todos nuestros productos: auth / organizations / billing / integrations / agents / workflows / search / evals / observability Stack Python · TypeScript · FastAPI · Node.js · React · Next.js · PostgreSQL · Redis · pgvector · Docker · Terraform ·
AWS/GCP · OpenTelemetry LLMs: OpenAI · Anthropic · Gemini · open-source Orquestación: LangGraph / custom orchestration · MCP · tool calling · RAG · eval frameworks

## Description

Madrid · Full-time presencialidad no obligatoria ******* € + Phantom Shares El objetivo no es construir un departamento tecnológico enorme.Es construir un equipo pequeño, extremadamente técnico y AI-native, con uno de los mayores niveles de output por engineer del mercado.No buscamos a alguien que solo sea de gestión.- Buscamos a alguien que sea muy técnico.Con capacidad para construir arquitectura e infraestructura desde cero.Qué vas a construir AI Agents - Tool calling y structured outputs - Agent orchestration y sistemas multi-agent - Memory y context management - Human-in-the-loop - Evals, guardrails y observabilidad - Model routing, retries y fallbacks LLM Infrastructure - OpenAI, Anthropic, Gemini y modelos open-source - RAG, embeddings y reranking - Semantic / hybrid search - Prompt & context versioning - Evaluación de calidad, latencia y coste Backend & Distributed Systems - APIs y arquitecturas event-driven - Async workers, queues y webhooks - Multi-tenancy y RBAC - Idempotency, caching y failure recovery - Sistemas escalables y seguros Platform Engineering Construiremos primitives reutilizables para todos nuestros productos: auth / organizations / billing / integrations / agents / workflows / search / evals / observability Stack Python · TypeScript · FastAPI · Node.js · React · Next.js · PostgreSQL · Redis · pgvector · Docker · Terraform · AWS/GCP · OpenTelemetry LLMs: OpenAI · Anthropic · Gemini · open-source Orquestación: LangGraph / custom orchestration · MCP · tool calling · RAG · eval frameworks


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