Descripción de la oferta
Agentic Engineer (Python, LLM Systems)Recuerde revisar su CV antes de enviar la solicitud. Además, asegúrese de leer todos los requisitos relacionados con este puesto.Spain (Barcelona/Madrid preferred) | Hybrid€70k–€120k base + bonus + equityWe're supporting one of our clients — a fast-scaling, AI-first product company — in hiring anAgentic Engineerto build and scale production-grade LLM agent systems.The RoleOur client is building conversational AI and workflow automation systems powered by multi-step agents. They're looking for an engineer who understands that shipping AI systems is fundamentally a systems engineering challenge.You'll work on:Designing and implementing multi-agent workflows (planning, tool-calling, orchestration)Building and optimizing RAG pipelines (embeddings, retrieval, context management)Managing memory strategies (session handling, summarization, vector search)Developing evaluation and monitoring frameworks for agent qualityImproving latency, reliability, and cost-efficiency of LLM workloadsEnsuring observability and robustness in production environmentsWhat They're Looking ForStrong backend engineering foundation (Python preferred)Experience building LLM-powered systems in productionHands-on work with agents, RAG, embeddings, or orchestration frameworksExperience with vector databases (Qdrant, Pinecone, Weaviate, etc.)Cloud-native experience (AWS or similar, containerized services, infra-as-code)Product mindset — able to ship, iterate, and improve quicklyBonus if you've worked on:Multi-agent systemsEvaluation pipelines or hallucination controlLatency-sensitive AI systemsScaling conversational AI infrastructureWhat This Role Is NotNot a pure ML research positionNot a fine-tuning-heavy roleNot just wrapping OpenAI APIsOur client is looking for engineers who have already built real AI systems and want to push them further.Compensation & Setup€70k–€100k base (flexible for exceptional profiles)Performance bonus structureMeaningful equityHybrid model (4 in-office days per month)If you've already built LLM agents in production and want to go deeper into orchestration, evaluation, and scalable AI systems, we'd love to speak. xsgfvud Apply directly or reach out for a confidential conversation.
