Descripción de la oferta
Agentic Engineer (Python, LLM Systems)
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 quality
Improving latency, reliability, and cost-efficiency of LLM workloads
Ensuring observability and robustness in production environmentsWhat They’re Looking For
Strong backend engineering foundation (Python preferred)
Experience building LLM-powered systems in production
Hands-on work with agents, RAG, embeddings, or orchestration frameworks
Experience 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 systems
Evaluation pipelines or hallucination control
Latency-sensitive AI systems
Scaling conversational AI infrastructureWhat This Role Is Not
Not a pure ML research position
Not a fine-tuning-heavy role
Not 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 structure
Meaningful equity
Hybrid 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.Apply directly or reach out for a confidential conversation.
